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  • Artificial Intelligence
  • Microsoft announces Artificial Intelligence-based data offerings

    Microsoft also announced Deep Learning and Machine Learning capabilities to support the next generation of enterprise-grade AI applications.

    Source: BGR
    12672
  • The Complete Beginners' Guide to Artificial Intelligence

    Ten years ago, if you mentioned the term "artificial intelligence" in a boardroom there's a good chance you would have been laughed at. For most people it would bring to mind sentient, sci-fi machines such as 2001: A Space Odyssey's HAL or Star Trek's Data.

    Source: Forbes
    12330
  • GOOGLE CLOUD BIG DATA AND MACHINE LEARNING BLOG

    Innovation in data processing and machine learning technology

    Source: Google Cloud Platform
    33681
  • Caching out of Hadoop: How New York Times Embraces New Technology

    It can be said that an IT organization reflects the business from which it has grown. When it comes to the New York Times, this is definitely true. As a news organization, the company's collective journalistic head is always on the swivel, always racing towards the newest story.

    Source: TheNewStack.
    11022
  • From machine learning to Python language skills: 6 tech skill sets that fetch maximum salary

    Technology is gradually taking over workplaces and that is one of the reasons why 'human workers' are becoming redundant.

    Source: BGR
    16365
  • How Experian Is Using Big Data And Machine Learning To Cut Mortgage Application Times To A Few Days

    Credit reference agency Experian hold around 3.6 petabytes of data from people all over the world. This makes them an authority for banks and other financial institutions who want to know whether we represent a good investment, when we come to them asking for money.

    Source: Forbes
    9939
  • The AI fight is escalating: This is the IT giants' next move

    Google, IBM, Microsoft and Amazon Web Services are all piling artificial intelligence capabilities onto their software stacks

    Source: Computer World
    8841
  • Why it is the right time for enterprises to embrace smart IT technologies

    With the emergence of Artificial Intelligence (AI), Machine Learning (ML), Big Data, cloud computing and other concurrent new age technologies, the legacy IT companies and teams need to relook at their internal processes and structure.

    Source: Financial Express
    10779
  • J.P.Morgan's Massive Guide to Machine Learning and Big Data Jobs in Finance

    Financial services jobs go in and out of fashion. In 2001 equity research for internet companies was all the rage. In 2006, structuring collateralised debt obligations (CDOs) was the thing.

    Source: efinancial Careers
    19527
  • The machine learning dilemma: So much data, where do we begin?

    According to industry headlines, the answers to many challenges facing credit unions today lie deep within their member data.

    Source: blog.co-opfs
    8589
  • The 9 Best Free Online Big Data And Data Science Courses

    Demand for skilled data scientists continues to be sky-high, with IBM recently predicting that there will be a 28% increase in the number of employed data scientists in the next two years.

    Source: Forbes
    30120
  • Microsoft Upgrades Windows-Based Data Science Virtual Machine

    Microsoft's cloud-based virtual machine for big data analytics is now available in a version running on Windows Server 2016.

    Source: Eweek
    10167
  • Creating a Better Economy with Data Science

    We believe in the power of information. We also believe in markets and capitalism as a force for good. The two are inexorably linked, because markets don't work well without open access to reliable data and information

    Source: SSIR.org
    9543
  • Why AI Would Be Nothing Without Big Data

    Artificial Intelligence (AI) is one of the most transformative forces of our times. While there may be debate whether AI will transform our world in good or evil ways, something we can all agree on is that AI would be nothing without big data.

    Source: Forbes
    10782
  • The Big Data banking revolution

    There is more data out there than ever before, but organisations should be smart about how they use it.

    Source: Gulfnews
    16287
  • Have we bridged the gap between Data Science and DevOps?

    How do Data Science and DevOps fit together? In this article, Richard Gall explains why integrating Data Science with your DevOps can lead to a better and smarter business.

    Source: jaxenter
    9984
  • 6 best places to learn data science fast

    The skills of data experts are becoming outdated as the industry evolves. If you're looking to learn data science - quickly - then you're in luck.

    Source: jaxenter
    9351
  • Enhancing Google Maps with Deep Learning and Street View

    Google's Ground Truth team recently announced a new deep learning model for the automatic extraction of information from geo-located image files to improve Google Maps.

    Source: Infoq
    13164
  • Big Data, Big Dangers for All Countries

    Think beyond the nosy neighbour to the corporations that want to utilise minutia of your life to sell products that you may or may not need. Corporations have always been interested in understanding consumer behaviour and been collecting data about users using their products or service.

    Source: The Hindu
    9204
  • 3 Massive Big Data Problems Everyone Should Know About

    Today, Big Data gives us unprecedented insights and opportunities across all industries from healthcare to financial to manufacturing and more. But, it also raises concerns and questions that must be addressed.

    Source: Forbes
    9768
  • The One Thing that Makes a Great Data Leader

    What's the one thing that makes a great data leader?

    Source: Data-informed
    8793
  • Data Scientist: Learn the Skills you need for free

    Data Scientists are in big demand! We review career pathways, relevant data science skills, and how you can learn them at no cost.

    Source: KDnuggets
    11517
  • Robot Uses Deep Learning and Big Data to Write and Play its Own Music

    Compositions created using database of well-known pop, classical and jazz artists

    Source: GATech
    8937
  • Attribution Wish List: The 5 Technologies I Want to See In the Future

    Attribution technology still has a long way to go, but hopefully these technologies make that journey quicker.

    Source: Inc
    9192
  • Artificial intelligence and privacy engineering: Why it matters NOW

    The growth of AI and large data sets pose great risks to privacy. Two top experts explain the issues to help your company manage this crucial part of the technology landscape.

    Source: ZDnet
    9378
  • Element AI, a platform for companies to build AI solutions, raises $102M

    The race for artificial intelligence technology is on, and while tech giants like Google and Facebook snap up top talent to build out their own AI-powered products, a new startup has just raised a huge round of funding to help the rest of us

    Source: TC
    10452
  • Data Science Terminology: 26 Key Concepts Everyone Should Understand

    Data science is the theory and practice powering the data-driven transformations we are seeing across industry and society today. Artificial intelligence (AI), self-driving cars, and predictive analytics are just a few of the breakthroughs that have been made thanks to our ever-growing ability to collect and analyze data.

    Source: Data Informed
    17052
  • 6 Big Data and Artificial Intelligence Smart Government Lessons

    WHAT IS THE STATE OF SMART GOVERNMENT AND SMART CITIES TECHNOLOGY ADOPTION?

    Source: Freebalance
    14289
  • Know the Difference Between AI, Machine Learning, and Deep Learning

    AI is defined by many terms that crop up everywhere and are often used interchangeably. Read through to better know the difference between AI, Machine Learning, and Deep Learning.

    Source: Edgylabs
    12090
  • How to build a data science pipeline

    Start with y. Concentrate on formalizing the predictive problem, building the workflow, and turning it into production rather than optimizing your predictive model. Once the former is done, the latter is easy.

    Source: medium
    11676
  • Artificial intelligence: Three common misconceptions

    By dispelling the myths surrounding this emerging technology, businesses will be able to realize its true potential.

    Source: IT Proportal
    7338
  • Datameer makes deep learning more accessible

    With SmartAI, Datameer is addressing the last mile in putting machine learning to work in business intelligence.

    Source: ZDnet
    12225
  • How Big Data and Artificial Intelligence Affect Investing

    Retail investors do not always have adequate time to research opportunities for making money. Fortunately, the rise of big data and artificial intelligence (AI) is helping individual investors make more informed investment choices.

    Source: Investopedia
    10374
  • Alibaba: Building a retail ecosystem on data science, machine learning, and cloud

    What does it take to compete in a global arena in which retail and cloud are increasingly intertwined? Domain-specific data science and machine learning for the masses, according to Alibaba.

    Source: ZDnet
    14076
  • Upcoming Meetings in Analytics, Big Data, Data Science, Machine Learning: July and Beyond

    Coming soon: 61st World Statistics Congress Marrakech, TDWI Anaheim, ICML Sydney, KDD-2017 Halifax, JupyterCon NYC, Big Data Innovation Summit Boston, and many more.

    Source: KDnuggets
    21684
  • Time to rethink machine learning: The big data gobble is OFF the menu

    What size do big things start? Small Machine learning (ML) may well be The Next Big Thing, but it has yet to register in mainstream enterprise adoption. While breathless prognosticators proclaim 50 per cent of organisations lining up to magically transform themselves in 2017 with ML, more canny observers put the number closer to 15 per cent. And that's being generous.

    Source: Theregister
    9009
  • How machine learning will spark a revolution in insurance

    Siddhartha Dalal got his introduction to probabilistic analysis in the wake of the 1986 Space Shuttle Challenger disaster.

    Source: Siliconangle
    10773
  • Machine Learning Applied to Big Data, Explained

    Machine learning with Big Data is, in many ways, different than "regular" machine learning. This informative image is helpful in identifying the steps in machine learning with Big Data, and how they fit together into a process of their own.

    Source: KDnuggets
    26181
  • How companies can develop internal data science expertise instead of hiring more Ph.D.s

    Right now, many data science jobs require a Ph.D. Here's how companies can help employees who lack advanced degrees get on this career track.

    Source: Techrepublic
    8946
  • Artificial intelligence holds great potential for both students and teachers - but only if used wisely

    Artificial intelligence (AI) enables Siri to recognise your question, Google to correct your spelling, and tools such as Kinect to track you as you move around the room.

    Source: Theconversation
    9873
  • Data Science Can Help Us Fight Human Trafficking

    July 30 marks the United Nations' World Day Against Trafficking in Persons, a day focused on ending the criminal exploitation of children, women and men for forced labor or sex work

    Source: Scientificamerican
    8868
  • How to get the best business value out of data scientists

    Well-established enterprises like retailers or manufacturing companies now have an abundance of data at their disposal. Unfortunately, merely possessing vast amounts of raw data does not lead directly to increased efficiency or the rapid development of new revenue streams. Instead, everyone must now figure out exactly how to make this data work for them.

    Source: Computerweekly
    18873
  • How artificial intelligence conquered democracy

    The technology is becoming commonplace in political campaigns, and some even claim it was crucial in delivering Donald Trump to the White House.

    Source: Independent
    8367
  • The Next Addition to Your Marketing Department Should Be a Chatbot

    There's no doubt chatbots are forever changing the way businesses operate and the way that marketers approach marketing. Not only do these virtual assistants have the ability to impact almost all aspects of a company, they're also great customer service tools that can provide assistance around the clock.

    Source: Entrepreneur
    9375
  • How AI, Machine Learning & Big Data are Affecting the Legal Industry

    As the integration of Artificial Intelligence, Machine Learning and Big Data in the workplace is becoming the new norm, concerns are increasing over how the technology could affect employee performance, job security and the adaptation and reliance of technology in the legal industry.

    Source: Inside Counsel
    9900
  • How Walmart is Using Machine Learning AI, IoT and Big Data to Boost Retail Performance

    Even though Walmart was founded in 1962, it's on the cutting edge when it comes to transforming retail operations and customer experience by using machine learning, the Internet of Things (IoT) and Big Data. In recent years, its patent applications, position as the second largest online retailer and investment in retail tech and innovation are just a few reasons they are among the retail leaders evolving to take advantage of tech to build their business and provide better service to their customers.

    Source: Forbes
    21972
  • Predictive Analytics And Machine Learning AI In The Retail Supply Chain

    In retail, supply chain efficiency is essential. Inventory management, picking, packing and shipping are all time and resource-intensive processes which can have dramatic impact on a business's bottom line.

    Source: Forbes
    11844
  • What Are the Best Skills to Have for Machine Learning

    The most valuable contributors to machine learning are often generalists. Especially in 2017, there is a lot of hype around particular machine learning methods. Candidates who have learned how to use a certain deep learning package in an online course and are applying to jobs remind me of people in the 1990s, when there was similar hype around the web, who read the "Learn VBScript in 20 Days" kinds of books instead of learning the fundamentals of computer science.

    Source: HuffPost
    18012
  • 7 Artificial Intelligence Stats That Will Blow You Away

    Artificial intelligence (AI) is quickly becoming the next big thing for tech companies. Chipmakers, software companies, tech conglomerates, and hardware makers are all betting that AI will make our cars safer and our cities more efficient, help us find disease-fighting drugs faster, and improve our lives overall.

    Source: The Motley Fool
    21930
  • Big data is changing machine learning, from nice-to-have to a must-have

    The big data tsunami bears exciting new profit potential; it also brings with it some daunting challenges, thanks to the General Data Protection Regulation's strict privacy rules, set to be enforced next year. Machine learning is the best weapon businesses have to maximize the bounty of big data and ward off the threats, according to Murthy Mathiprakasam (pictured), director of product marketing at Informatica Corp.

    Source: siliconangle
    18495
  • The Delhi Police will also partner with academic institutions to develop systems for the future

    The Delhi Police, by 2020, aspires to adopt "technology based policing" by using smart policing, artificial intelligence, and self-learning systems among other advanced technologies, it was announced on Friday.

    Source: FirstPost
    10452
  • Google Artificial Intelligence 'Alpha Go Zero' Just Pressed Reset On How To Learn

    Alpha Go Zero is changing the game for how we solve big problems.

    Source: Inc
    28842
  • Why AI, Machine Learning And Big Data Really Matter To B2B Companies

    While most of the attention for how artificial intelligence (AI), machine learning and big data can impact companies is focused on the business to consumer (B2C) space, business to business (B2B) companies need to pay attention or they risk their future success.

    Source: Forbes
    12663
  • What is artificial in artificial intelligence?

    Usually when a new technology starts getting noticed, the subsequent hype in the industry is inevitable. The hype is partly created by the vendor and consulting community looking for new business, partly created by professionals in the industry wanting to keep up and comment on the latest trends, partly created by companies with the ambition to be seen moving with the times and becoming early adopters.

    Source: CIO
    12123
  • 5 Exciting Machine Learning Use Cases in Business

    The combination of big data and machine learning can unlock the value of data you already have to gain a competitive edge for your business.

    Source: IoT For All
    12852
  • How Mercedes Is Preparing For The 4th Industrial Revolution: Big Data, Machine Learning And Drones

    In an era of great uncertainty and disruption for automotive manufacturers, Mercedes and its parent company Daimler are jumping in full throttle as leaders of the 4th Industrial Revolution.

    Source: Forbes
    8604
  • How Mercedes Is Preparing For The 4th Industrial Revolution: Big Data, Machine Learning And Drones

    In an era of great uncertainty and disruption for automotive manufacturers, Mercedes and its parent company Daimler are jumping in full throttle as leaders of the 4th Industrial Revolution.

    Source: Forbes
    17193
  • 4 Big Data Trends to Watch

    The hope for the next generation of businesses is that the large quantities of data, which is accessible to the masses, can help in planning everything from better decision making to executing better marketing campaigns.

    Source: Tech
    13056
  • Machine learning and big data: a new dimension in online banking security

    Machine learning and big data are having a positive impact on customer experience, as well as producing extensive benefits for banks.

    Source: Information Age
    14064
  • Five Big Data Trends To Influence AI In 2018

    The age of Big Data has reached an all new high as disruptive and innovative digital technologies push businesses to adapt quickly in a rapidly changing consumer market.

    Source: CXO Today
    11856
  • Top 35 Demanded Courses to boost your career in 2018-20

    Really you want to upgrade your skills with the best Data Analytics, Development courses, to stand out in your industry? Now Big data, Data Science, Machine Learning, Deep Learning, Artificial Intelligence (AI), Analytics, Python, R, r-stats are the most trending and highly demanding subject in every sector for almost every industry.

    Source: HOB Team
    12081
  • Top 35 Demanded Skills to boost your career in 2018-20

    Really you want to upgrade your skills with the best Data Analytics , Development courses , to standout in your industry? Now Big data, Data Science, Machine Learning, Deep Learning, Artificial Intelligence (AI), Analytics, Python, R, r-stats are the most trending and highly demanding subject in every sector for almost every industry.

    Source: HOB Team
    27786
  • The Incredible Ways Heineken Uses Big Data, The Internet of Things And Artificial Intelligence (AI)

    Every industry can benefit from Big Data, IoT and AI, and that includes brewers. Dutch brewer Heineken has been a worldwide brewing leader for the last 150 years.

    Source: Forbes
    10959
  • Unlocking the true power of Big Data with Machine Learning

    Machine learning is taking a big leap in Big Data stream. Today, Google predicts that you should leave now to catch a flight and Amazon recommends a book that you should read- are a few of the many machine learning usage instances that we come across in our lives daily.

    Source: CIOL
    13821
  • LinkedIn's hottest emerging IT careers: Machine learning, data science and big data

    Healthcare outpaced all other industries in job growth for freelancers while finishing second to staffing when it comes to non-freelancers.

    Source: Health Care IT News
    16515
  • Big Data & Artificial intelligence, both need each other

    Artificial intelligence and big data have formed a truly symbiotic relationship, and they need each other to ring to fruition what both are promising. If there are any lingering doubts that the fates of artificial intelligence and big data are intertwined, consider these recent quotes from two highly regarded thought leaders in this space:

    Source: RTInsights
    6849
  • LinkedIn: Machine learning jobs are on the rise

    Machine learning engineers, data scientists, and Big Data engineers are among the top emerging jobs in technology. This is based off of a recently released report from LinkedIn.

    Source: SD Times
    11817
  • AWS bets on OTT players with AI & Data Analytics

    Amazon Web Services (AWS) which is the cloud computing arm of Amazon, plans to get into Over-the-top (OTT) content providers market of India with their data analytics & artificial intelligence platform. Bikram Bedi, head of India region, AWS said that globally, and in India, media & entertainment has been a huge focus of the company. They work with OTT platforms or linear TV platforms like Voot, Hotstar, Netflix, Sony, Amazon Prime, Tata Sky etc.

    Source: HOT Team
    14643
  • Startup Watchlist: 10 Indian AI Startups To Watch Out For In 2018

    Indian AI Startups Raised About $87.85 Mn In 2017

    Source: Inc42
    31812
  • These are the Indian tech jobs that aren't disappearing in 2018

    Layoffs and hiring freezes in Indian IT are likely to continue in 2018, but it's not as hopeless as it seems.

    Source: QZ
    10173
  • Big data, machine learning, AI to shape job market in 2018

    The year 2018 will see a sharp increase in demand for professionals with skills in emerging technologies such as Artificial Intelligence (AI) and machine learning, even as people with capabilities in Big Data and Analytics will continue to be the most sought after by companies across sectors, say sources in the recruitment industry.

    Source: The Hindu Business Line
    22989
  • Cloud, Mobile Or Big Data? In-demand IT Jobs & Skills For 2018

    Automation, machine learning and other emerging technologies have made it necessary for IT employees to learn new skills.

    Source: NDTV
    9204
  • 10 ways AI will impact the enterprise in 2018

    Despite AI's promise across many industries, some companies still face implementation challenges.

    Source: Tech Republic
    12150
  • Verizon acquires Niddel for threat detection with machine learning

    Verizon wants to give its enterprise customers more tools to automate threat detections on networks.

    Source: Zdnet
    10263
  • The Amazing Ways Tesla Is Using Artificial Intelligence And Big Data

    Tesla has become a household name as a leader and pioneer in the electric vehicle market, but it also manufactures and sells advanced battery and solar panel technology.

    Source: Forbes
    19752
  • Data Science And Machine Learning Jobs Most In-Demand On LinkedIn

    Machine Learning Engineers, Data Scientists, and Big Data Engineers rank among the top emerging jobs on LinkedIn. Data scientist roles have grown over 650% since 2012.

    Source: Enterprise Irregulars
    10941
  • Data Science And Machine Learning Jobs Most In-Demand On LinkedIn

    Machine Learning Engineers, Data Scientists, and Big Data Engineers rank among the top emerging jobs on LinkedIn.

    Source: Linkedin Blog
    17847
  • Skilling enterprises, start-up developers key to India's digital dream: IBM

    With digital transformation comes the daunting task of preparing a workforce for technologies like Big Data, Cloud, Artificial Intelligence (AI) and Internet of Things (IoT) that can address the massive demand coming from governments and businesses in India.

    Source: Economictimes
    9525
  • Tech Mahindra ties up with edX.org to reskill 117 thousand employees

    The company said reskilling empowers Tech Mahindra associates with much needed learning opportunities to enhance their careers and stay relevant in the Digital Age.

    Source: Economictimes
    14616
  • 5 ways artificial intelligence is changing the future of work

    Instead of rendering humans not as important in the workplace, AI will actually make us more capable and useful, with automated solutions freeing up more of our time and talent for higher-value thinking and problem solving, strategizing and creating innovative solutions.

    Source: Betanews
    6933
  • Artificial Intelligence: What Educators Need to Know

    As AI makes more resources more widely available, we will find less meaning in material wealth and more value in the activities that are uniquely human.

    Source: Edweek
    9621
  • 10 Machine Learning Startups to Watch

    These startups are applying artificial intelligence techniques to business intelligence, big data, cybersecurity, APM, autonomous vehicles, healthcare and more.

    Source: Datamation
    16662
  • Why you should study AI and Machine Learning and how I did it

    Machine learning is a fundamentally new technology that can create immense value to humankind. At the same time, it will challenge society. Not to try to understand how it works would be irresponsible.

    Source: blog.networks.nokia
    15600
  • SAS India and NMIMS announce new distance learning management programs

    The program is the first-of-its-kind that offers industry-recognized certification in Management Program in Data Visualization and Executive Program in Big Data and Machine Learning.

    Source: Aninews
    10224
  • 7 Stocks to Profit from Artificial Intelligence

    Over the next decade, artificial intelligence will have a profound impact on all industries, introducing efficiencies and innovative catalysts.

    Source: Morningstar
    8880
  • Machine Learning, Imaging Analytics Predict Kidney Function

    Imaging analytics backed by machine learning can accurately predict renal survival time in patients with chronic kidney disease.

    Source: Healthitanalytics
    10785
  • How AI will impact your IT career

    Artificial intelligence and machine learning are eating up workloads at IT help desks, in cybersecurity, and other IT tasks, stirring significant concern over the long-term impact AI will have on jobs even in the IT industry.

    Source: Itworld
    10836
  • The Opportunities and Challenges of Cloud Computing and Big Data

    See how big data and cloud computing can be used together to manage the enormous amounts of data that are being generated on a daily basis.

    Source: Dzone
    15654
  • Machine Learning, Analytics & Big Data are about to change Insurance

    It is largely data that has determined success, failure and change in the insurance business. However, today is different. The advent of big data technology, advanced data analytics & machine learning are changing the game entirely.

    Source: HOB
    12567
  • How Data Protection Platforms Can Power A New Generation Of Apps, AI And Data Science

    Data protection platforms are a key element of data supply chains.Yet data supply chains present unique challenges.

    Source: Forbes
    13089
  • Chief Marketing Officers' are buddying up to Big Data

    There are new technologies being introduced everyday and regular advances in managing and utilizing consumer data is also happening. Resultantly, it is becoming harder to stay up to date with all of them. Technology is moving faster than marketers can figure how best to make use of it.

    Source: HOB
    9330
  • What Predictive Analytics, Big Data And The Rise Of Artificial Intelligence Mean For Real Estate

    AI-enhanced real estate industry could also mean agents advertising homes using virtual reality, where users can experience a home just like they experienced a new BMW on Snapchat, interacting with the property through the smartphone in their hands.

    Source: Forbes
    13470
  • Artificial intelligence vs. big data: Comparing emerging techs

    Artificial intelligence can help synthesize and analyze the large volumes of information provided by big data initiatives. The two are different, but they work well together.

    Source: Tech Target
    21513
  • List of 240 business and academic events worldwide on Machine Learning

    Machine Learning Engineer is now the fastest-growing job position in the U.S. according to LinkedIn's 2017 U.S. Emerging Jobs Report.

    Source: Standuply
    18504
  • Big Data Combined With Machine Learning Helps Businesses Make Much Smarter Decisions

    Today, the importance of machine learning and big data to businesses cannot be overemphasized; both are revolutionizing business operations and consistently providing lots of new opportunities.

    Source: Entrepreneur
    10188
  • Big Data and Search: The Time for Artificial Intelligence Is Now

    Businesses have been relying on search and big data analytics for many years to gain insight into their data. In recent years, these technologies have evolved rapidly and now incorporate machine learning and artificial intelligence,

    Source: CMSWire
    13074
  • Daron Acemoglu on technology and the future of work

    "We need to look to the past in the face of modern innovations in machine learning, robotics, artificial intelligence, big data, and beyond," says the economist.

    Source: MIT Edu
    8817
  • Is She a Superhero For Artificial Intelligence?

    When Terah Lyons arrives at the Flywheel Coffee Roasters in San Francisco's Haight-Ashbury, she is greeted so enthusiastically that she laughs with surprise. But this can't have been the first such welcome. Even if you don't know who she is, the ease and poise with which she walks and the warmth of her smile make it hard not to be struck by her presence. And as if on cue, from the speaker overhead comes Alicia Keys' hit song "You Don't Know My Name."

    Source: Ozy
    10842
  • Demand for AI talent exploding: Here are the 10 most in-demand jobs

    Employer demand for AI-related roles has more than doubled over the past three years, according to Indeed.

    Source: Tech Republic
    19143
  • The Best Advice From Quora on 'How to Learn Machine Learning'

    Top machine learning writers on Quora give their advice on learning machine learning, including specific resources, quotes, and personal insights, along with some extra nuggets of information.

    Source: kdnuggets.
    58428
  • 5 Career Paths in Big Data and Data Science, Explained

    Are you looking to get a real handle on the career paths available in "Data Science" and "Big Data?" Read this article for insight on where to look to sharpen the required entry-level skills.

    Source: Kdnugget
    22419
  • 18 Inspiring Women In AI, Big Data, Data Science, Machine Learning

    For the 2018 international women's day, we profile 18 inspiring women who lead the field in AI, Analytics, Big Data , Data science, and Machine Learning areas.

    Source: Kdnugget
    18975
  • Top 5 Courses to Learn Python in 2018

    Looking to learn Python this year? Come check out a list of the best five courses to help start your journey and get you closer to being a Python pro!

    Source: Dzone
    19458
  • Is Really Big Data Getting Too Big?

    We probably all know that obesity is becoming a big problem in the developed world and just becoming bigger. It's a mindset that more is always better like more food, more choice but that's not always the case.

    Source: HOB
    17016
  • How AI and ML is Affecting the Indian Economy

    The merging of Big Data and Cloud powered by Artificial Intelligence (AI) and Machine Learning will be the next game changers and we consider that it will be a multi-trillion dollar prospect for the Indian economy. We are in the halfway of the single largest renovation the world has even seen since the industrial revolution.

    Source: HOB
    13680
  • Health Entrepreneurs are using big data in an innovative way

    If you look at it closely, you will see that in some ways Martine Rothblatt, the chairwoman and founder of United Therapeutics and James Park, CEO and co-founder of Fitbit are infact unusual entrepreneurs and healthcare leaders. Both were outsiders to the industry and neither of them were well versed with the regulatory arts of American Healthcare.

    Source: HOB
    8574
  • 5 Things You Need to Know about Big Data

    We take a look at five things you need to know about Big Data. There's a lot of social media and general internet buzz regarding Big Data, but what exactly is it?

    Source: Kdnugget
    39537
  • Top Use cases where Modi government used big data and analytics

    Modi government has actively used big data and analytics in its governance to succeed and reform the country. Here is a look at some of the top use cases.

    Source: HOB
    14832
  • Top 10 Algorithm Categories For A.I., Big Data, And Data Science

    ARE ALGORITHMS taking over our jobs? Yes, yes they are... and that a good thing. With a focus on leveraging algorithms and balancing human and AI capital, here are the top 10 algorithm categories used to implement A.I., Big Data, and Data Science.

    Source: Bizcatalyst360
    12561
  • How AI and ML is Affecting the Indian Economy

    The merging of Big Data and Cloud powered by Artificial Intelligence (AI) and Machine Learning will be the next game changers and we consider that it will be a multi-trillion dollar prospect for the Indian economy. We are in the halfway of the single largest renovation the world has even seen since the industrial revolution.

    Source: HOB
    23502
  • Cloud + Streaming Analytics + Data Science = Four Big Data Trends Now

    We will see real-time big data come to the forefront in the enterprise world this year. There is a convergence of several factors that will lead to this. Companies have increasingly begun to use cloud solutions and advanced data processing solutions in order to derive business insights for improving customer experience, optimizing operational processes and providing executives with critical data points.

    Source: HOB
    16983
  • Cloud + Streaming Analytics + Data Science = Four Big Data Trends Now

    Here are the four big data trends that will be driving change in the enterprise landscape in the coming year.

    Source: HOB
    10209
  • Become a Big Data and Hadoop expert with this training

    A comprehensive course on Hadoop for just $39.

    Source: HOB
    12195
  • To understand big data, convert it to sound

    Researchers are working to convert massive sets of big data into unique sound patterns in order to improve anomaly detection and comprehension.

    Source: HOB
    10161
  • How To Grow As A Data Scientist

    What Skills Do You Need To Go From Jr. To Sr. Developer. The role of a data scientist still varies from company to company and even team to team. This makes it much harder for companies to create a standardized growth plan for their data scientists.

    Source: Hackernoon
    18465
  • How Can Data Scientist Become IoT Experts?

    Gartner predicts that the number of IoT devices will surpass 11.2 billion this year, the majority of which are in the consumer sector. The same report forecasts that the endpoint spending will exceed $2 trillion, in hardware and software combined.

    Source: iotevolutionworld
    12954
  • Deep Learning - Past, Present, and Future

    There is a lot of buzz around deep learning technology. First developed in the 1940s, deep learning was meant to simulate neural networks found in brains, but in the last decade 3 key developments have unleashed its potential.

    Source: Kdnugget
    26256
  • Data Analytics: A measure for Business Growth

    Data analytics is the key to drive optimal strategy for every business. It helps a business to effectively target consumers with marketing efforts while also creating products that facilitates in solving current problems.

    Source: HOB
    10062
  • Top Recent Big Data videos on YouTube

    Top viewed videos on Big Data since 2015 include Big Data use cases in psychographics, sports, politics and data monetisation.

    Source: KDnugget
    10830
  • Big data and Artificial intelligence transforming the financial services

    Technology is making financial services, particularly lending, one of the most enthralling segments to keep an eye on. While several technological transformations going on, here below are two which are already in flourishing mode and ready to completely change the way financial sector services are offered online.

    Source: HOB
    13326
  • Data Analytics: A measure for Business Growth

    Data analytics is the key to driving optimal strategy for every business. It helps a business to effectively target consumers with marketing efforts while also creating products that facilitates in solving current problems. Businesses are using data analytics in various aspects within technological tools across departments, from IT management to customer support administration. By storing data safely and securely in a cloud-based backup system that uses file encryption, enterprises can protect private consumer information and business insights that provides them with a competitive edge.

    Source: HOB
    7857
  • How AI and ML is Affecting the Indian Economy

    The merging of Big Data and Cloud powered by Artificial Intelligence (AI) and Machine Learning will be the next game changers and we consider that it will be a multi-trillion dollar prospect for the Indian economy. We are in the halfway of the single largest renovation the world has even seen since the industrial revolution. India, though persisted undiscovered in the early 90s, holds the potential to be revealed as creators of asset class because of their ability to create unstructured data sets. India is poised to leapfrog the world in Artificial Intelligence, as the demography is not controlled by the legacy usage of computers or tablets so they can transfer directly to the phone. Also, India is creating amorphous data at a very speedy pace and has data sets in bulk that very few countries possess.

    Source: HOB
    12828
  • Is Really Big Data Getting Too Big?

    We probably all know that obesity is becoming a big problem in the developed world and just becoming bigger. It's a mindset that more is always better like more food, more choice but that's not always the case. This is a just similar phenomenon that we must choose the right food in the right amount to keep us healthy, same businesses must be judicious about what data they collect and what variety they have.

    Source: HOB
    15201
  • Understanding Big data, Data mining, and Machine Learning in 5 Minutes

    Today, each of the many things we do everyday can literally be recorded. Every credit card transaction is digitalized and traceable; Our public presence is consistently being monitored by the many CCTV's hanging around every corner of the city

    Source: HOB
    26157
  • Big Data and Data Science Job Opportunities In 2018

    Big data isn't just a buzz word anymore. It is extremely important for organizations to pay attention to it. Data is now driving more organizational decisions than ever before. With vast amounts of data being produced in real-time, there is a huge demand for people with skills to manage, analyze and help organizations use this data effectively. Technology changes frequently, and so do buzzwords. Big data, which was one of the most used terms until recently, has been replaced with 'real-time'. This doesn't mean that the demand for big data skills is now low. Rather, it simply means that the keyword has been replaced.

    Source: HOB
    15522
  • Elements of Modern Data Science, AI, Big Data and ML

    I'm sure everyone who has been following tech industry news knows about "big data" and "AI." Although there is no industry-consistent definition for either term, most people tend to agree that both have been playing more and more important roles lately

    Source: HOB
    14745
  • Machine Learning with Signal Processing Techniques

    nyone with a background in Physics or Engineering knows to some degree about signal analysis techniques, what these technique are and how they can be used to analyze, model and classify signals.

    Source: HOB
    16329
  • Reasons Why Big Data Analytics Should Be Your Next Career Move

    According to Forbes, 53 % of organizations are embracing Big Data Analytics, which means the need to gather and secure data has never been this critical before.

    Source: HOB
    14172
  • Data Science Job Roles Across Organizational Levels

    Data scientists work at all levels of the organization. Our survey of data professionals revealed that Director-level data scientists have the highest level of proficiency across many data science skills and work with more of their peers compared to data scientists who are Individual Contributors, Managers or even Executives. Satisfaction with outcome of analytics projects did not differ across job levels.

    Source: HOB
    16677
  • How Big Data Works: As a Success or Failure

    Big data is the major field in IT that is going to change many trends in the industry. Their individual applications are ginormous and will start a new era in the technological world. Most companies already understand the importance of using big data to drive insights and decisions and this is already on hype.

    Source: HOB
    8892
  • Teradata Looks to Drive 4D Analytics

    Teradata Corporation is a provider of database-related products and services. Putting all the infrastructure in place needed to drive real-time insight is a complex endeavor. The number of individual platforms that need to be stitched together is often daunting to even the most experienced IT organizations. Looking to make it simpler to achieve that goal, Teradata announced it has combined support for geospatial, temporal and time-series data into a Teradata Analytics Platform that can be queried using Python, R, SAS, or SQL-based tools.

    Source: HOB
    9033
  • Levels of Big Data Maturity

    Big Data have been heard for some time now. The concept of Big data is continually evolving and being reconsidered, as it remains the driving force behind many ongoing waves of digital transformation, including artificial intelligence (AI), data science and the Internet of Things (IoT). The data which is unstructured, time-sensitive or immense cannot be processed by relational database engines. So, this type of data requires a different processing approach called big data, which uses massive parallelism on readily-available hardware.

    Source: HOB
    24888
  • 6 digital marketing trends to follow in 2018

    Consumers choose brands that demonstrate their personal ethos. Customers get attracted to companies which are focused on real-time communication and which creates interesting content. To save your real customers, you must invest in digital marketing. Digital Marketing has played a vital role to portray the success of an organization.

    Source: HOB
    9096
  • How Machine Learning Can Apply to Event Processing

    How do you combine historical Big Data with machine learning for real-time analytics? An approach is outlined with different software vendors, business use cases, and best practices. Big Data has gained a lot of momentum recently. Vast amounts of operational data are collected and stored in Handoop and other platforms on which historical analysis is conducted. Business intelligence tools and distributed statistical computing are used to find new patterns in this data and gain new insights and knowledge for a variety of use cases: promotions, up- and cross-sell campaigns, improved customer experience, or fraud detection.

    Source: HOB
    10743
  • Five Big Data and Data Science Trends to Expect In 2018

    According to an IDC Digital Universe Study, by the year 2020, about 1.7 megabytes of new information will be created every second for every human being on the planet. Uncovering insights from this homogenous amount of information will require the seamless adoption of big data technologies, stronger data security, and integration of AI, machine learning and cognitive technologies applications with business operations

    Source: HOB
    13053
  • 6 skills to acquire for companies to succeed in Digital Transformation

    Today, we live in a world which is highly driving towards digital transformation. Digital Transformation is more than just a buzzword - it's a process of using technology to radically change your business.

    Source: HOB
    8727
  • The 10 V's of Big Data

    Big data goes beyond volume, variety, and velocity alone. One should need to know these 10 characteristics and properties of big data to prepare for both the challenges and advantages of big data initiatives.

    Source: HOB
    25239
  • Machine Learning and Big Data: Real-World Applications

    The amount of data that companies collect and store today is staggering. However, it's not the volume of data being gathered that's most important it's what companies are doing with that data that matters most. With both unstructured and structured data streaming in from everywhere at an unprecedented rate, making connections and extracting insight is complicated work that can quickly spiral out of control.

    Source: HOB
    12630
  • 6 ways for leveraging Big Data for your business

    The amount of digital data in the universe is growing at an exponential rate, doubling every two years, and changing how we live in the world. Big Data is surely a big deal. We definitely are seeing an increase in activity with companies responding to the impact big data has made on their business.

    Source: HOB
    8412
  • Big data is bringing in the big bucks for India's techies

    As more and more Indian firms look to leverage big data for various aspects of their businesses, data science and analytics professionals are having their day in the sun.

    Source: HOB
    17130
  • Usage of Big Data in Airline Industry

    Every airline company wants the passengers to experience the flight like once in a lifetime experience. By always putting their passenger likes at the top and then as a result plans the whole thing. Also to bring a circumference over all of this, information is the key. They analyze the traveler s data, his preference and his fondness.

    Source: HOB
    12507
  • Big Data: Drives a Successful Marketing Campaign

    Big Data can deliver remarkable marketing campaigns however, the success of the campaign will depend upon the enterprise's willingness to invest in technologies, processes, and its engagement with customers. Many consider marketing as an art nowadays, and it is, beyond doubt, a complicated piece of work, which requires craft as well as graft. Going back to the website's blunder, it is evident that there was a terrible misinterpretation in the analytical data they received. Today, direct marketing heavily relies upon Big Data analytics to pin down individuals based on their Google queries, browsing history, credit card swipes and so on.

    Source: HOB
    8571
  • Incredible Examples of AI and Machine Learning In Practice

    There are so many amazing ways artificial intelligence and machine learning are used behind the scenes to impact our everyday lives and inform business decisions and optimize operations for some of the world's leading companies. Here are few amazing practical examples of AI and machine learning

    Source: HOB
    13221
  • Top 10 Sectors Making Use of Big Data Analytics

    Big data is growing everyday and becoming a very popular word in the tech world. Many people around us keep talking about it, but do they know what it actually means? Big data is nothing but the collection of unstructured data. This data is not in a particular format and because of this its datasets sizes are generally huge measuring tens of terabytes and sometimes crossing the threshold of petabytes. The term big data was preceded by very large databases (VLDBs) which were managed using database management systems (DBMS). Having so much of data pertaining to the business provides a very niche way of increasing the sales or profits of any company. But in order to do so we need to make use of Big data analytics.

    Source: HOB
    8580
  • The growing demand of Data Scientists

    The exploding demand for data scientists is representative of a need that will not slow down anytime soon. The monetary value of storing, workings with and drawing penetration from data keeps falling the demand for professionals that can work with this data and deliver on the insight will continue to grow.

    Source: HOB
    16722
  • Big Data's Role in Taxation and Public Administration

    Big data is now playing a large role in most industries, with the number of uses for information rising regularly as new algorithms and methods to analyze data are developed. The application of big data in taxation has eased the effort required for high levels of accuracy, and has increased the uses for tax information around the world. Big data in public administration has yet to play a significant role across the industry, however, its potential awaits untapped.

    Source: HOB
    12252
  • 5 Steps for Better Data Science Decision Making

    In an organizational or business data analysis, you must Begin with the right question . Questions should be measurable, clear and concise. Design your questions to either qualify or disqualify potential resolution to your specific job or opportunity.

    Source: HOB
    14760
  • A Beginner's Manual to Data Science & Data Analytics

    Data is everywhere. In fact, the amount of digital data that exists is growing at a rapid rate, doubling every two years, and changing the way we live. Data has been a crucial part of our lives.

    Source: HOB
    22293
  • Major Challenges Faced by Data Scientists

    Data science is ubiquitous and is broadening its branches all over the world. The invisible hand of data science in the form of ranking algorithm governs the news streams and feed, recommendation engines that guide the content we see on Netflix and YouTube. Similarly, survival analyses for the estimation of time queues and neural networks for self-driving cars. But there includes a lot of challenges which hinders a data scientist while dealing with data.

    Source: HOB
    9348
  • How can Big Data Analytics influence Decision Making?

    Big data can transform how decision-makers view business problems and inform strategic decisions, allowing them to rely upon objective data. Good data, sound analysis and valuable insights are critical for mitigating risks, making balanced strategic decisions and competing against others.

    Source: HOB
    31434
  • 6 ways how HR Analytics can ease the recruitment process

    Today, organizations acroos the world are leveraging the power of big data in everything, right from designing workplace policies to social media recruitment. Big data has become a buzzword in business circles today. Big data can help a lot when it comes to talent acquisition.

    Source: HOB
    11649
  • Understanding the Latest Trends and Pillars of Trusted Data Analytics

    More businesses and organizations are using data analysis tools, thanks to the explosive growth in the ground of data analytics has seen in recent years. With data analytics, and the kind of outputs expected from it, there are questions growing about the trust that is placed in it, and the fresh ways of decision making.

    Source: HOB
    8244
  • Predictive analytics- A Proactive Approach to manage business

    With the growing amount of data available with the organization, Data analytics becomes an integral part of almost every business management. Analytics in itself has wide applicability to add more value to the business

    Source: HOB
    11709
  • A Beginner's Manual to Data Science & Data Analytics

    Data is everywhere. In fact, the amount of digital data that exists is growing at a rapid rate, doubling every two years, and changing the way we live. Data has been a crucial part of our lives.

    Source: HOB
    18513
  • Top 7 trending technologies in 2018

    Technology has been revolutionizing the way we perform tasks. It has made our tasks easier, simpler & faster. All thanks to tech revolution!! The technological innovations are the new big thing in 2018. Heard about AI, Machine Learning? Artificial Intelligence has always been in the favorites' section of tech experts and companies. Now, have a look on top 7 trending technologies in 2018:

    Source: HOB
    13215
  • Data Analytics and It's Categorisation: Need to Understand

    In 2018, data and data analytics can't be ignored. Data Analytics is quite big buzz these days. Analytics is the combination of analysis and logics. Analytics can't be performed without software's. By applying data analytics we can draw conclusion about the any given set of information.

    Source: HOB
    16434
  • Big Data Making the Education System Smarter

    From Business to Government to Medicine big data is a technological buzz word now a day. Big Data is essentially the collection and analysis of large amount of data. In very broad terms it centers on the collection and analysis of large volumes of data.

    Source: HOB
    13521
  • How Big Data can influence decision making in Healthcare Industry

    Analyzing the great potential of Big Data in health care industry, Doctors, Researchers, Scientist and other stakeholders are trying to real world evidence to influence their decision making. Healthcare industry is experiencing a rapid movement towards a new world where focus will be on value and outcomes.

    Source: HOB
    7167
  • How Big Data can influence decision making in Healthcare Industry

    Analyzing the great potential of Big Data in health care industry, Doctors, Researchers, Scientist and other stakeholders are trying to real world evidence to influence their decision making. Healthcare industry is experiencing a rapid movement towards a new world where focus will be on value and outcomes.

    Source: HOB
    8799
  • Big Data Analytics Advancing Industries in 2018

    Manufacturing is important part of the world's economic development, but the roles it plays in advanced and developing economies has shaped dramatically. In developing countries, manufacturing operations bring new employment opportunities that are changing the societies. Manufacturing always remains important as a job initiator in the whole world.

    Source: HOB
    11139
  • Advancement in AI: Turning Point for Telecom Industry

    Telecom sector is one of those industry which always looks for new trends and innovative technology to provide better services to its customer. Telecom Industry has already using the trending technologies such as AI, Chatbots, Machine Learning but the development in AI will be a turning point in terms of connectivity, communication, efficiency and delivering customer services.

    Source: HOB
    13623
  • Convert Data into Valuable Insights using these power Analytical tools

    Growing amount of data available to the organization has led to the development of many analytical tools. As the big data has no significance to the company until and unless it can be converted into valuable insights.

    Source: HOB
    8946
  • 9 Reasons Convince the Importance of Big Data

    Big Data is the trendy term people use in describing the technology to solve the complex problems. The problems that seemed impossible to solve, now all can be easily solved thanks to the collection and analysis of a huge amount of data. It is clear that Big Data is here to stay in modern era and is also changing the world.

    Source: HOB
    8190
  • Why Should You Learn Data Science: Know Top 10 Reasons

    Numbers don't lie, data analytics is on rise soon it will be integrate part of all the organizations. Data science has created so much hype in the world of IT sectors that from big to small companies all are now hiring employees who have knowledge regarding this subject. Data science helps an employee to understand data and then synthesize it in a proper way so that they can communicate in a better way which is beneficial for the companies

    Source: HOB
    8904
  • Data Analytics: In IoT Applications And Investments

    When machines are connected to internet, we start getting real-time data in large amount. That real-time data is not only helpful in the Descriptive analysis but also helpful in understanding the behavioral patterns to get predictive and prescriptive analysis which means what will happen and actions we have to take. In short, with the emergence of IoT, the whole equation has transformed. Now we can leverage this data in our daily job to get best possible outcomes and also understand where their time and money are spent. So that we can use the resources in an effective manner hence wastage can be minimized.

    Source: HOB
    15495
  • How Data Analytics Can Streamline the process of logistics management

    With the growing awareness about big data and data analytics, it has revolutionized many industries. Logistic is another field which is going to see transformations with the application of big data analytics in its process

    Source: HOB
    5238
  • How Data Analytics Can Streamline the process of logistics management

    With the growing awareness about big data and data analytics, it has revolutionized many industries. Logistic is another field which is going to see transformations with the application of big data analytics in its process.

    Source: HOB
    14235
  • Personalize your Customer Experience with mobile Analytics

    Now a day's mobile became the central part of everyone's life. This shows marketer to exploit mobile generated data to deliver delightful experience to their customers. The connectivity through the mobile devices using different mobile apps can tell more about consumers' needs, expectations and behaviors.

    Source: HOB
    13446
  • Vodafone Telecom Service Provider Leverages Artificial Intelligence and Big Data

    Country's second-largest telecom service provider Vodafone is leveraging Artificial Intelligence (AI) and Big Data technologies to enhance consumer experience. Technologies such as Artificial Intelligence and Big Data are helping to understand customer preferences better and that enable to cater to them accordingly.

    Source: HOB
    14556
  • Top 12 Interesting Careers to Explore in Big Data

    From data driven strategies to decision making, the true worth of Big Data has been realized, and has led to opening up of amazing career choices. Check out these 12 interesting careers to explore in Big Data.

    Source: HOB
    18771
  • Boost your Career in Data Analytics: Popular Online Certifications

    The shift towards data driven approach has created demand for data analyst. The application of big data and data analytics is increasing day by day. So, career in data analytics will provide students with opportunity in different industries.

    Source: HOB
    7752
  • The Significance Of AI And Machine Learning In IIoT

    "Hey Siri, what is IIoT?" Every time you ask Siri, you get an accurate answer. Wonder how your virtual assistant suggests, thinks and talks like a human being? Because it has been taught that way through machine learning.

    Source: HOB
    11712
  • How Big Data Support E-Commerce Sellers to Increase ROI

    E-Commerce industry has been growing constantly. The latest technological advancement have certainly accelerated its growth and on its way. The e-commerce industry has been expressively influenced by the rise in mobile internet usage, IoT and big data. Big data can be used for efficient trailing of transactions, sales analysis and for forecast demand and supply

    Source: HOB
    7044
  • How Big Data Support E-Commerce Sellers to Increase ROI

    E-Commerce industry has been growing constantly. The latest technological advancement have certainly accelerated its growth and on its way. The e-commerce industry has been expressively influenced by the rise in mobile internet usage, IoT and big data. Big data can be used for efficient trailing of transactions, sales analysis and for forecast demand and supply

    Source: HOB
    11532
  • Big Data a Competitive Advantage for Organizations

    Big Data is on hype and due to the growing demand; good data is becoming a valuable commodity. Big data is the act of collecting large data sets from traditional and digital sources to identify trends and patterns. That collected information is used by the companies to improve what they know about customer's wants and needs.

    Source: HOB
    11493
  • 5 Recent Trends that can transform Wealth Management

    In the digital era, every industry is achieving transformational change. Digitization in each sector is reducing cost of operation and improving the efficiency. Similarly, wealth management is facing with digital disruption that can transform the traditional wealth management.

    Source: HOB
    9033
  • Predictive analytics: An engine for business growth

    Increased user base on digital channels, growing awareness of big data and implementation of data analytics are elevating marketing efforts and its impact on bottom-line. Now, smart marketer use predictive analytics to their grow business.

    Source: HOB
    7467
  • Top Languages for Programming Big Data Analysis

    Python, Scala, R and Java are the major languages for big data, data mining and data science. They all have their own fame. These languages are easy to use and understand obviously they have their own pros as corns as wel

    Source: HOB
    6855
  • Top Languages for Programming Big Data Analysis

    Python, Scala, R and Java are the major languages for big data, data mining and data science. They all have their own fame. These languages are easy to use and understand obviously they have their own pros as corns as wel

    Source: HOB
    10959
  • Harvard's New Data Science Program Signals a Big Shift for Businesses

    Data science informs entrepreneurs in a way that listening to their gut just can't.

    Source: HOB
    12801
  • How Machine Learning and Big Data Can Improve Education Sector

    Machine learning can potentially redefine not only how education is delivered, but also nurture quality learning on the student's part. Probably the most important part of the role of machine learning in teaching is customized teaching. With machine learning, we are moving away from the one-size-fits-all methodology.

    Source: HOB
    11370
  • Banking, Big Data Analytics & The Latest MBA Jobs Trends At Johnson At Cornell

    Cynthia Saunders-Cheatham is a senior careers director at Johnson at Cornell. She says more employers want MBAs with data analytics skills

    Source: HOB
    10035
  • Some examples where AI and Machine learning are impacting our daily life

    Artificial intelligence and machine learning is no more hype. These technologies are changing our life, the way communicate, the way we do business and the way we live. We can say many examples where AI and machine learning has transformed our daily life.

    Source: HOB
    12888
  • Steps for Analyzing the Unstructured Data

    We probably all know that obesity is becoming a big problem in the developed world and just becoming bigger similiarly data analysis is becoming an important part of the businesses growth. Big data is the act of collecting large data sets from traditional and digital sources to identify trends and patterns. It is very necessary to get understand the structured and unstructured data in order to make right decision for the businesses to grow.

    Source: HOB
    14298
  • How Big Data Can Improve Customer Surveys

    Customer survey is the primary source of deriving customer feedback for many companies, despite the growth in embracing of other customer feedback sources like social media, call center conversations and emails. It usually contains structured questions, requesting customers to rate their level of satisfaction with their experience. Two common customer surveys are relationship and transactional surveys. The main difference between these two surveys is that relationship surveys measure attitudes about the experience and transactional surveys measure attitudes in the experience. These approaches of the survey are used to help businesses to improve the both strategic and tactical decision-making power.

    Source: HOB
    6744
  • Harvard's New Data Science Program Signals a Big Shift for Businesses

    Harvard hosts some of the most prestigious programs in the world, especially in business and law. So it was big news in the data science industry when the university announced a new master's program in data science in March 2017

    Source: HOB
    13827
  • How visualization is important in Big data analysis

    Now big data and analytics lies in the heart of every organization but data will act as a garbage for data scientist until and unless they are not able to visualize the data and its impact on key activities and the business outcome.

    Source: HOB
    11667
  • 5 Ways Retailers and Business Owners Can Beat Their Competition

    In retail business there is some form of typical competition that has been evolved from an longer period in business .The retail business is to identify the needs of the customers in which the best sales can shine out among the competitors . The response of every business folks is to analyze and make comparison to other businesses in your industry. Find if there is something useful to the customers as well as to your business and the good response is to define your brand and consistently communicate your own Unique Selling Proposition. This blog will gives you the 5 strategic ways through which you were able to beat the competition and also remain in business strong and lucrative.

    Source: Roosboard
    17592
  • Big Data: Improving Employee Engagement in Real-Time

    Real-time data and analytics are now entering in the field of HR as well. Big data sets are the collections of both sets of structured and unstructured information. However, the command of big data doesn't lies in its size, but lies in that how organizations make use of the resource. Big data comes from many sources and delivers organizations with deep and meaningful insights into consumer and client characteristics as well as internal enterprise performance.

    Source: HOB
    10701
  • Data intelligence is changing Business landscape in India

    Technology revolution all over the world are changing the business landscape and making the world more competitive. The data is growing exponentially and the only way to survive is to exploit data intelligence and analytics.

    Source: HOB
    11298
  • How Big Data is changing the Business Landscape

    The amount of data being collected globally is increasing exponentially. This proves that we are currently in the age of Big Data. Simultaneously, many more related fields like Data Science, Data Intelligence, Artificial Intelligence, Machine Learning, and Deep Learning have also seen a lot of growth and are revolutionizing businesses and industries across the world and making the competitive world. To remain the part of this competitive market organizations lookout for the skilled data scientists and data professionals.

    Source: HOB
    6771
  • Leveraging Cloud Technology into Business

    Cloud computing permits new level of agility for developers, data scientists and IT by providing a pay as you go model with unlimited scalability and no hardware cost. Analytics is one of the most important business functions that basically fit for public and hybrid clouds. Companies are turning to cloud based analytics for easier access to increasing amounts of data, greater data sharing and collaboration, faster insights and time to value and to reduce operational cost.

    Source: HOB
    7587
  • Indian Navy: Incorporating Data Analytics and Artificial Intelligence

    Indian Navy is planning to incorporate big data analytics and artificial intelligence into their operational functioning of the forces. In the conference of the commanders they reviewed the Navy's "Mission Based Deployments". The purpose of the review is at maximizing benefits ensured from the deployment of Indian Navy ships and aircraft to the dangerous areas within the Indian Ocean Region.

    Source: HOB
    19683
  • How the UK will approach artificial intelligence job disruption

    The UK technology sector will have to lose its fear of failure and embrace the artificial intelligence revolution, the Minister for Digital, Culture, Media and Sport has argued.

    Source: HOB
    11319
  • Impact of Blockchain Technology on Big Data

    While Bitcoin and Cryptocurrency may have been the first widely known uses of Blockchain technology today, it's far from the only one. In fact, blockchain is revolutionizing every industry. Blockchain is the biggest technological breakthrough since the internet and becomes the most darling topic in the tech sense. There are many blockchain applications but here we talk about that how blockchain is impacting on Big Data.

    Source: HOB
    10509
  • ZARA: Leveraging AI, Big Data and Analytics

    Inditex, the world's largest clothing retailerand owner of Zara stocks up on Artificial Intelligence, Big Data and analytics into its business strategy to stay ahead in the race of competition. The biggest fashion retailer is hooking up with tech companies and hiring talent from startups and partnering Analytics and investments, which offers an AI-powered consumer behavior forecast platform.

    Source: HOB
    53133
  • Boost Your Leadership Career with the Help of Big Data

    Big data is used to identify patterns and trends that can yield powerful insights into human interactions majorly consumer behavior. The data includes demographic, geographic and psychographic attributes collected from diverse sources throughout the consumer cycle as well as from the other field of the individual's life.

    Source: HOB
    7593
  • Differentiating between Data Science, Big Data and Data Analytics

    Data is everywhere. In fact, the amount of digital data that exists is growing at a rapid rate, doubling every two years, and changing the way we live. Data science and data analytics, people working in the tech field or other related industries probably hear these terms all the time, often interchangeably. However, although they may sound similar, the terms are often quite different and have differing implications for business. Knowing how to use the terms correctly can have a large impact on how a business is run, especially as the amount of available data grows and becomes a greater part of our everyday lives.

    Source: HOB
    27222
  • Most Popular Technology Trends in 2018: Need to Know

    Enough of talking about languages, we should focus more on the technologies so that we can build apps and can solve different problems. In the fast-changing technological era, one needs to keep themselves to be updated with the technology that is emerging or having great influence in our life. Being updated with trends, market conditions and technology helps in cope up with the changes and move in a right direction

    Source: HOB
    11811
  • Understanding the Concept of Web Scraping or Data Extraction

    Web scraping is also known as web harvesting or data extraction. It is used for extracting data from the website. Web scraping a web page included fetching and extracting. Fetching is something what we are downloading. So we can say that web crawling is a most important component of web scraping, to fetch pages for later processing. Once fetched, then the extraction takes place. It is also used for contact scrapping, and as a component of applications used for web indexing, web mining, and data mining.

    Source: HOB
    15636
  • Understanding Subjectivity in Data Science

    In a perfect world, data scientists would take subjectivity out of their conclusions when examining findings.

    Source: HOB
    8946
  • What Business Intelligence is actually? Need to Know

    Business intelligence comprises the strategies and technologies used by enterprises for the data analysis of business information. And it provides historical, current and predictive views of business operations.

    Source: HOB
    7689
  • Highest Demanding Job Roles in the Year 2018

    For all those who are searching for job, year 2018 is going to be the year where you can move further in the tech industry and here is the list of top 10 highest paying jobs.

    Source: HOB
    8529
  • Is it Necessary to Know Big Data Before Data Analytics?

    No,but if you have some knowledge about data mining algorithms. That will be beneficial in learning data analytics. Data Analytics is a field demanding a variety of skills. Having knowledge of Hadoop is one of them.

    Source: HOB
    17289
  • Importance and Scope of Data Analytics in Business World: Need To Know

    Analytic is the interpretation of the data collected. Raw form of data is not of any use. It is important to convert raw data into analytic so that it is easier to find that what is the decision that are to be taken by the use of analytic. Businesses use this analytic for making actionable business analytic that will help them in taking real time actions.

    Source: HOB
    20634
  • Aviation Industry bets on Big Data Analytics

    Big Data

    Source: HOB
    9306
  • Aviation Industry Bets on Big Data Analytics

    Aviation Industry is on radar next and it bets on Big Data Analytics. This industry needs to move beyond its present way of working so big data analytics is only key to unlock the potential.

    Source: HOB
    17706
  • Developers Should have Strong Understanding of "Machine Learning Algorithms"

    For any tech enthusiast, knowing certain Machine Learning Algorithms and its applications have now become very important. Tech giants like Google, Amazon, Facebook, Walmart are using Machine Learning significantly to keep their business tight enough to compete with their rivalries.

    Source: HOB
    9774
  • Five Hottest Big Data Trends

    The growth of data is not going to stop. This will usher in new challenges and opportunities. Below you can find the five hottest big data trends for techies and business.

    Source: HOB
    8721
  • Online Retailers are Leveraging Big Data Analytics to Gain Customer Experience

    The retail industry traditionally has been generating detailed data on consumer behaviour and purchase history through various transactional and customer relationship systems. Exploiting these data to increase basket value and optimize margin remains a challenge with traditional technologies of business intelligence tools and data warehouse architectures.

    Source: HOB
    9954
  • Hadoop and Spark: Which one is better?

    As we know organizations from different domains are investing in big data analytics nowadays by analyzing large data sets to uncover all the hidden patterns unknown correlations, market trends, customer preferences and other useful business information. These analytical findings are helping organizations in more effective marketing, new revenue opportunities and better customer service and they're trying to get competitive advantages over rival organizations and other business benefits. An Apache Spark and Hadoop are the two of most prominent big data frameworks and people often comparing these two technologies.

    Source: HOB
    12687
  • How AI is Transforming Construction Industry

    AI has changed the ways that how all business performs and now artificial intelligence is also changing the way the construction industry does the business. The construction industry has found undeniably a great partner in technology. After a long period of time, now the technology can boost productivity, safety and other critical aspects of business success.

    Source: HOB
    10575
  • How Machine Learning in Finance is different from other fields?

    Machine Learning plays an integral role in many areas of financial services like from approving the loans, managing assests, minimizing the risk and many more. Machine Learning plays a vital role in fraud detection and protects and thus protect the consumer from the fraudlent activities.

    Source: HOB
    10791
  • What set of Skills are required for Machine Learning Jobs?

    The skills that have remained important are (a) understanding the fundamentals of statistics, optimization, and building quantitative models and (b) understanding how models and data analysis actually apply to products and businesses.

    Source: HOB
    25398
  • How the Data is Collected and Used by the Retailers?

    The challenge of pricing has entered a new era and every industry should learn from what's happening in fashion right now. While competition with Amazon often gets a lot of attention, industry upheaval due to the rise of e-commerce is much broader than that. Retailers need to embrace external market data, in real time, in order to succeed.

    Source: HOB
    6048
  • Is Really Big Data Changing the Business Scenario?

    Big data and its implications are impacting every business from one-person companies to Fortune 500 enterprises. As data collection, analytics and the interpretation of that data become more readily accessible, they will have an impact on every business in several important ways, regardless of what field you operate in or the size of your business.

    Source: HOB
    5532
  • Is Really Big Data Changing the Business Scenario?

    Big data and its implications are impacting every business from one-person companies to Fortune 500 enterprises. As data collection, analytics and the interpretation of that data become more readily accessible, they will have an impact on every business in several important ways, regardless of what field you operate in or the size of your business.

    Source: HOB
    4920
  • The Big Fashion Retailer H&M is Leveraging AI and Big Data

    The big fashion brand H&M is betting on the technology Artificial Intelligence and Big Data to regain profitability. All the big brands are now coping with these technologies and maximizing their profit for the business so that they can stay longer in the market.

    Source: HOB
    11220
  • The Big Fashion Retailer H&M is Leveraging AI and Big Data

    The big fashion brand H&M is betting on the technology Artificial Intelligence and Big Data to regain profitability. All the big brands are now coping with these technologies and maximizing their profit for the business so that they can stay longer in the market.

    Source: HOB
    17745
  • Role of Big Data in E-Commerce

    The amount of data that e-commerce companies collect is changing what we can to do for customers. Increasingly, commercials and ads are targeted to our specific demographics.

    Source: HOB
    12264
  • 5 Industries Becoming Defined by Big Data and Analytics

    The ever-improving capabilities of big data platforms increasingly create new opportunities for industries with representatives who want to examine analytics to benefit their companies.

    Source: HOB
    18108
  • The Way How Companies are Managing Data and Improve Data Handling?

    Here we get to know that how companies can use systems of insights platform to improve the data sourcing, analysis and insights and how they are managing their data. Recently TIBCO has also published a webinar on know the answer of this question. According to director of analytic strategy, Shawn Rogers that how closed-loop SOI platform offer a continuous learning solutions. All the experts are always in search of getting good or valuable data so that they can get best from that by using their analytical skills.

    Source: HOB
    13668
  • Why Demand for Hadoop and Big Data Has Increased?

    From a very generic perspective it does not matter how small or big the company is, it depends on the amount of data the type of data and how are they using the data. As per the recent trend, the need to handle with large amount of data is increased. As per the business requirements we are not able to achieve 100% accuracy when we are dealing with normal data conversions.

    Source: HOB
    6144
  • Three Ways Big Data and Machine Learning Reinvent Online Video Experience

    With traditional TV viewing on the decline, we discuss several ways Big Data and Machine Learning can assist with online video, including redefining user recommendations, improving video buffering and leveraging MAM orchestration.

    Source: HOB
    12795
  • How to Run Parallel Data Analysis in Python using Dask Dataframes

    Sometimes you open a big Dataset with Python's Pandas, try to get a few metrics, and the whole thing just freezes horribly.

    Source: HOB
    11496
  • How Important Big Data and Analytics in an Organization?

    The growth and success of the organization totally depend on your ability to collect good amount of data, managing those data which leads into business insights and outcomes. Data is all around only matter is that we have to collect good structured data which is further helpful for the organizations.

    Source: HOB
    13194
  • How Long the Latest Technology Machine learning will Help?

    Machine learning is having a huge impact in almost all the industries. From Google brain to self-driving cars all are made using a machine learning algorithm. It is currently growing and expanding rapidly and more and more people are learning it.

    Source: HOB
    7683
  • A Comparative Data Analysis of Top 6 Business Intelligence and Data Visualization Tools in 2018

    Nowadays, there is a huge list of powerful data visualization tools to help you illustrate your ideas, visualize your data, make it talk, share your significant analytics with customers and the global community.

    Source: HOB
    25359
  • Business Results can be Improved With the Help of Big Data Analytics

    Big Data Analytics is the perfect solution for the complex problems. Every marketer have to take right decision for their organization and now for all those decisions they need not to be depend on their employees. With the help of big data analytics they can easily come to know about each fact and findings.

    Source: HOB
    7986
  • 100 Free Online Programming Language and Computer Science Courses at Intermediate Level- Part 2

    We have covered all the courses at a beginner level. As i have classified these courses on the basis of difficulty level. Here we have come up with 200 online programming language and computer science courses at an intermediate level.

    Source: HOB
    15729
  • Top 12 Famous Data Science, Big Data & Data Analytics Influencers In 2018

    As data science and big data get the hype in the industry, handling it is a challenge we need to deal with. Along with all the pros on one side keeping yourself advent with the latest improvements in this field is another issue which bothers us.

    Source: HOB
    19602
  • Why is Big Data in Biggest Trouble: Did They Forget to Applied Statistics?

    This "classic" (but very topical and certainly relevant Big Data) post discusses issues that Big Data can face when it forgets, or ignores applied statistics. As great of a discussion today as it was 2 years ago.

    Source: HOB
    18468
  • 35 Invaluable Books on Data Visualization that You Must Read for Better Visualization Data

    Are you a hard-core enthusiast of data visualization? Or a beginner, who wants to learn and be able to create more effective visualizations? Check out our list of 35 invaluable books you must read for better visualization.

    Source: HOB
    17745
  • What are the best free online Big Data and Data science courses?

    IBM recently predicted that in the next two years there might be a boost of 28 percent in the number of employed Data scientists.

    Source: HOB
    23307
  • Unusual problems that can be solved with Data Science

    Here is a non-exhausting list of curious problems that could greatly benefit from data analysis.

    Source: HOB
    12714
  • Top 10 Machine Learning Algorighms Everyone Should know to Become Data Scientist

    Learn about ten machine learning algorithms that Everyone should know to become a data scientist. Machine learning practitioners have different personalities. While some of them are "I am an expert in X and X can train on any type of data," where X = some algorithm, others are "right tool for the right job" people.

    Source: HOB
    49224
  • Top 10 Big Data Trending, Everyone Should Know

    A collection of Big Data trends to familiarize yourself with, covering IoT Networks, Artificial Intelligence, Predictive Analytics, Dark Data and more.

    Source: HOB
    13830
  • How can Blockchain technology help in transformation of AI?

    Researchers have looked at ways to utilize Blockchain for improving Artificial Intelligence. Blockchain developers make a good case on why the distributed ledger system is the perfect platform for testing the next generation of developments in AI

    Source: HOB
    12390
  • 15 Books That Will Help Data Scientists to Increase Their Knowledge

    Today every person is talking about the new business ideas and wants to start thier own dream company. But in Data Science this is little bit different and the success in this filed is mainly driven by knowledge on the particular subject. So for this practice every data scientists should read books and gain the insights.

    Source: HOB
    19419
  • How can Companies Unshackle Data Science from IT?

    There are several ways companies can alleviate the pain and accelerate the data science transition, particularly as it relates to the IT department.

    Source: HOB
    13362
  • Looking For Data Science Jobs: The Perfect Data Scientist Doesn't Exist

    What are the most to least important skills, and the types of people who apply for data science jobs. I talked about all of the skills I want in an ideal candidate. But since that candidate doesn't exist, I have to prioritize what attributes the candidates that I hire have.

    Source: HOB
    16233
  • Data Scientists are in-High Demand and Well Paid - So, why is there a skills gap?

    Data scientists are responsible for unlocking these insights and extracting intelligence which influences our lives, in commerce and at home.

    Source: HOB
    11763
  • 10 Key Technologies Playing Big Role in Big Data Analytics For Businesses

    The big data analytics technology is a combination of several techniques and processing methods. What makes them effective is their collective use by enterprises to obtain relevant results for strategic management and implementation.

    Source: HOB
    19896
  • Understanding The Facts About Business Intelligence

    All marketers are familiar with the value of monitoring and analyzing web data and analytics. Most of the organizations are using Google Analytics to know the facts and figures of the organization. All extracted data leads to the efficiency, revenue growth and success of a business.

    Source: HOB
    20082
  • Why Data Analytics and Artificial Intelligence in Crypto-Sphere?

    Why Data Analytics? To answer this question, you need first of all few clues about my background. I am Rachid Oukhai, founder of Upsilon, Peculium (Data).

    Source: HOB
    11562
  • Data Science Leads to the Business Success

    In today's world with the introduction of "Internet of Things" and the improvement of "AI Technology" has led to implementation of big data solutions to almost every organization whether small or large organizations. With the help of big data analytics the management can easily take the decision and improve their operational efficiency.

    Source: HOB
    9573
  • How to Run Parallel Data Analysis in Python using Dask Data frames

    Sometimes you open a big Dataset with Python's Pandas, try to get a few metrics, and the whole thing just freezes horribly. If you work on Big Data, you know if you're using Pandas, you can be waiting for up to a whole minute for a simple average of a Series, and let's not even get into calling apply.

    Source: HOB
    20757
  • 6 Smart Ways to Use & Visualize Big Data For Strengthen Your Leadership

    Big data is used by companies around the world to inform and improve countless business processes, from customer service to marketing campaigns. But the ability to collect and analyze vast amounts of information isn't just useful for external operations; it can help you strengthen your business internally, too.

    Source: HOB
    14754
  • Top 15 Business Applications For Artificial Intelligence And Machine Learning: Everyone Should Know!

    Understanding how artificial intelligence (AI) and machine learning (ML) can benefit your business may seem like a daunting task. But there is a myriad of applications for these technologies that you can implement to make your life easier.

    Source: HOB
    7971
  • Data Science & Machine Learning are Most Wanted Skills: DE Survey

    Data science is the top skill to learn in 2019, SlashData said. It noted that 45 percent of developers want to gain expertise in data science and machine learning, with other most-wanted skills including UI design (33 percent) and cloud-native development (25 percent).

    Source: HOB
    65001
  • How NLP can help healthcare obtain unstructured medical data from text?

    Much of this data is trapped in free-text documents in unstructured form. This data is needed in order to make healthcare decisions.

    Source: HOB
    12078
  • 10 best Online Courses for Data Science

    If you like a trendy career, you have that opportunity right now and get hired by the big industries. According to the Harvard Business Review, Data Scientists - "The Sexiest Job of the 21st Century". This article talks about the Data Science Courses, Certification, Tutorial and Training for Data Scientists

    Source: HOB
    58923
  • Collection Of 10 Big Data Tools Used For Data Analysis, Part-1

    There are numerous of Big Data tools for data analysis today. Data analysis is the process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision making.

    Source: HOB
    15330
  • How is NASA using Artificial Intelligence to explore the space?

    Artificial intelligence is really invaluable right across the spectrum of space problems.

    Source: HOB
    8760
  • Data Is Huge in Numbers Which is Beyond Our Thinking!

    Everyday the amount of data we produce is very huge in number, but this pace is only accelerating with the growth of the internet of things (IoT). Here is the collection of some favourite stats which create huge amount of data every single day.

    Source: HOB
    8121
  • Do small business have a phobia for big data?

    Experts have made serious arguments about the use of Big Data in smaller businesses. What these smaller businesses need is a solid plan/strategy according to which they can set up big data in their smaller projects initially.

    Source: HOB
    10314
  • Do small business have a phobia for big data?

    Experts have made serious arguments about the use of Big Data in smaller businesses. What these smaller businesses need is a solid plan/strategy according to which they can set up big data in their smaller projects initially.

    Source: HOB
    9231
  • Collection of 10 Big Data Analysis Tools As Data Visualization and Sentiment Analysis Tools, Part-2

    In Part-2 collection of 10 Big Data Analysis Tools As Data Visualization and Sentiment Analysis Tools are mentioned. There are numerous of Big Data tools for data analysis today. Data analysis is the process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision making.

    Source: HOB
    32649
  • Top Trends in Big Data-As-A-Service Market and Forecast Report till 2024

    The large information that keeps on increasing or the data sets that are complicated need to be processed which is not possible by the traditional applications.

    Source: Zion Market Research
    9369
  • Data Means Big Money: Companies Making Money From Data

    Companies are aware with the importance of digital data in businesses. All organizations had already started to understand and identify what valuable data they can possess. So they are collecting it, analyzing it and using it to improve their business and operations. They are leveraging machine learning applications that help them in solving complex hurdles.

    Source: HOB
    9780
  • Collection of 20 Plus Best Big Data Books, Add Value To Businesses

    There are lot of online free resources available from where we can get insights and use that knowledge in our daily routine. But here is the collection of good Big Data books that matches in-depth and comprehensive detail for the readers and these books are selected on following parameters like relevancy, popularity, ratings, publish date and ability to add value to businesses.

    Source: HOB
    7530
  • 10 Data Extraction and Databases Tools for Big Data Analysis, Part-3

    In Part-2 we have covered 10 Big Data Analysis Tools as Data Visualization and Sentiment Analysis Tools. There are numerous of Big Data tools for data analysis today but here we cover big data analysis tools as data extraction and databases tools.

    Source: HOB
    26004
  • How Big Data Analytics is playing an important role in transforming organisation?

    Big data analytics is pouring off real-time sources like sensors and devices. Much of this data requires immediate analysis, for valuable insights while the information is still relevant.

    Source: HOB
    8844
  • How to Make A Career In These Field - Data Science, Machine Learning and Big Data?

    Who has had prior stints in retail and education industry talks about the difference between Data Science, Machine Learning, and Big Data - Abhinav Rai, Data Scientist at an upgrade.

    Source: HOB
    90411
  • The core of smart cities will be Big Data and Internet of things.

    In the Internet of Things, objects have their own IP address, meaning that sensors connected to the web can send data to the cloud on just about anything: how much traffic is rolling through a stoplight, how much water you're using, or how full a trash dumpster is.

    Source: HOB
    8085
  • What are Big Data's big impact on Social Media Marketing?

    There has been a rise of big data which has had impacts on social media taking it to all new levels. According to a survey by the year 2020 the collective volume of big data might reach close to 44 trillion gigabytes.

    Source: HOB
    12138
  • 10 Plus Videos to Learn Artificial Intelligence, Machine Learning & Data Science For Beginners: Must Watch!

    Youtube is a very popular source to educate and entertain people. To learn Artificial Intelligence, Machine Learning and Data Science youtube proved as a good online source by the users. This is great source for educational videos. Now all these technologies are becoming popular day by day and everyone want to learn and get start their career in these fields so they are searching these video channels on youtube.

    Source: HOB
    64194
  • Recommended Steps To Become A Successful Data Scientist

    In 2020, the world is expected to generate 50 times more data than in 2018 and Data Scientist has been voted as the "Sexiest Job" by Harvard Business Review, there is a significant growth in demand for data-savvy professionals in businesses, public enterprises, and several nonprofit organizations.

    Source: HOB
    16599
  • The Biggest Issue With Machine Learning Algorithms

    Machine learning is enabling investors to tap huge data sets such as social media postings in ways that no mere human could. Yet, despite the enormous potential, its record remains mixed.

    Source: HOB
    60966
  • 10 Best Big Data Courses Online, Tutorial and Training.

    Best big data courses listing displays the 'Best Course,' 'Product Description,' 'Rating,' 'Students Enrolled' as well as 'Product's Image' and 'Enroll Now' Button to purchase the Courses from the website for your convenience.

    Source: HOB
    15747
  • Preparing Data is a Big part of Big Data.

    A data scientists has to spend long hours of work in the preparation of the project that phase takes more time than they actually work the one that is shown in newspaper on TV or on the internet.

    Source: HOB
    6123
  • Big Data tools you should know in 2018.

    Big data is giving the necessary edge to the organisations; analyzing customer's behaviour, personalizing the customer's experience which directly improves the customers experience and their companies sell improving the company's revenue.

    Source: HOB
    13572
  • I Climbed Every Intro to Data Science Course On The Internet, Based On Thousands Of Data Science Points

    A year ago, I dropped out of one of the best computer science programs in Canada. I started creating my own data science master's program using online resources.

    Source: HOB
    78801
  • "Data Is Gold": Huge Data Equals To High Revenue For Business

    Data is very important and all the organizations are running towards data to collect it and store it safely. In today's world "Data Is Gold" and data has the potential to turn businesses into revenue. It can be possible only when if we use data is a perfect manner. To analyze and process data models, machine learning is very important. It involves large dynamic datasets to train itself, test and perform predictive and prescriptive analysis.

    Source: HOB
    6150
  • Big Data and Internet of Things have a bright future with Java.

    Java is one of those technologies that have maintained itself over time, it has never gone outdated, and it has been a trustworthy platform. Java has a role which is everywhere even with so many new technologies coming and being around.

    Source: HOB
    14067
  • Substitution, Extension & Transformation: The Three Keys Of Digital Transformation

    Technology Business Research (TBR) recently come out with a report and its headline is, "Winning The Business Of Digital Transformation Services Requires A Process-Led Approach" authored by Sebastian Lagana and Jennifer Hamel. The report is full of good nuggets, but what all professionals especially liked the way that they categorized the 3 phases of Digital Transformation in his report:

    Source: HOB
    10497
  • Understand How Artificial Intelligence And Big Data Are Interwinning Technologies?

    Working with technology industry, it's impossible to run away from the vast impact of Artificial Intelligence and Big Data analytics. At the same time it is quite difficult to figure out where one technology begins and the other takes over. While it is clear there is a connection between the two, understanding the manner in which Artificial Intelligence and Big Data work together to solve business and operational problems is a key part of using the technologies effectively.

    Source: HOB
    10125
  • These skills will get you big paychecks in IoT careers.

    Clearly, a job in Internet of Things can pay well because of the rising demand, but candidates will require a combination of skills to ensure a promising IoT career.

    Source: HOB
    8433
  • Understanding The Term Big Data, Data Science & Data Analytics On the Basis of Their Applications, Skills And Salaries

    Data is everywhere. It is the most important resource in today's world and every organization is busy in collecting the huge amount of data. In fact, the amount of digital data that exists is growing at a rapid rate, doubling every two years, and changing the way we live. According to IBM, 2.5 billion gigabytes (GB) of data was generated every day in 2012.

    Source: HOB
    25557
  • Understanding The Term Big Data, Data Science & Data Analytics On the Basis of Their Applications, Skills And Salaries

    Data is everywhere. It is the most important resource in today's world and every organisation is busy in collecting the huge amount of data. In fact, the amount of digital data that exists is growing at a rapid rate, doubling every two years, and changing the way we live. According to IBM, 2.5 billion gigabytes (GB) of data was generated every day in 2012.

    Source: HOB
    4965
  • Understanding The Term Big Data, Data Science & Data Analytics On the Basis of Their Applications, Skills And Salaries

    Data is everywhere. It is the most important resource in today's world and every organisation is busy in collecting the huge amount of data. In fact, the amount of digital data that exists is growing at a rapid rate, doubling every two years, and changing the way we live. According to IBM, 2.5 billion gigabytes (GB) of data was generated every day in 2012.

    Source: HOB
    4944
  • List of Free Learning Resources for Data Science, Machine Learning & Big Data: According to Github

    This list contains free learning resources for data science, machine learning and big data related concepts, techniques, and applications. Inspired by Free Programming Books.

    Source: HOB
    81720
  • How Big Data Empowering AI: 5 Essentials Everyone Need to know

    Artificial Intelligence and its pros and cons have been discussed to no end. Artificial Intelligence isn't a new-age discovery. In India, the Centre for Artificial Intelligence and Robotics (a DRDO Organization) was established as early as 1986. So the question to ask is why all the fuss now?

    Source: HOB
    7824
  • Is Blockchain The Future Of Big Data and Machine Learning?

    The popularity of the blockchain has exploded recently by the fashion effect of ICO's, but all are not worth the time and money to invest in. Let's be aware of the power of this technology and all that one could build of use with it before the crypto trading kills it.

    Source: HOB
    19371
  • Is Blockchain The Future Of Big Data and Machine Learning?

    The popularity of the blockchain has exploded recently by the fashion effect of ICO's, but all are not worth the time and money to invest in. Let's be aware of the power of this technology and all that one could build of use with it before the crypto trading kills it.

    Source: HOB
    7905
  • Top 5 Vast Difference Between Big Data Vs Machine Learning

    Difference Between Big Data and Machine Learning- Data drives the modern organizations of the world so don't be surprised if I call this world a data-driven world.

    Source: HOB
    16239
  • One Small Step For Machine Learning One Giant Leap For Organisation

    People when talk about Artificial Intelligence, Machine Learning, Automation, Big Data, Cognitive Computing, or Deep Learning they're talking about the ability of machines to learn to fulfill objectives based on data and reasoning. This is tremendously important and is already changing business in practically every industry.

    Source: HOB
    13347
  • There is no solution to Cybersecurity equation without these two formulas: Big Data and Machine Learning

    A team of researchers showed how hackers could feasibly use AI to change malware code and bypass cyber security systems as a result. In order to stay ahead, cyber defense systems need to deploy machine learning algorithms that are just as-or even more-powerful and complex.

    Source: HOB
    14652
  • The Three Pillars Of Deep Learning: History, Evolution And Growth

    Deep Learning is a subset of machine learning that deploys algorithms for data processing and imitates the thinking process and even develops abstractions. Deep learning uses layers of algorithms for data processing, understands human speech and recognizes objects visually. Deep Learning is feature extraction which uses an algorithm to automatically construct meaningful features of the data for learning, training and understanding.

    Source: HOB
    13977
  • Top 8 Business Intelligence Books Will Make a Solid Foundation For Your Business Dashboard

    With big data being one of the business intelligence buzzwords of last few years, no wonder that publications on business analytics and dashboard design pile up in bookstores. You must be familiar with those trends and keep up with the developing technology, but who has time to read all those books?

    Source: HOB
    8505
  • Big Data Analytics Pentagon Every Data Scientist needs to avoid.

    For Data Scientists, mistakes help them become sharper and discover new data trends, but that doesn't mean mistakes in Big Data Analytics are not sometimes quite problematic.

    Source: HOB
    9444
  • Top 20 Questions to Ask Prior to Starting Data Analysis

    It is crucial to ask the right questions and/or understand the problem, prior to beginning data analysis. Below is a list of 20 questions you need to ask before delving into the analysis

    Source: HOB
    11301
  • Insurance Industry Adapting to the New Day Technology: Big Data and Internet of Things.

    The key elements disrupting the insurance industry include the Internet of Things (IoT), wearables, big data, artificial intelligence and on-demand insurance.

    Source: HOB
    8850
  • Levels Of Artificial Intelligence: Know In Which Level We Are Now At Present?

    The individual Data Science technologies that comes under Artificial Intelligence are all moving forward on different paths at different speeds, but all of those speeds are fast. So before you change careers or decide that your business needs some of that AI let's fly up and see if we can make out a larger pattern that will help us understand where we are and where we're going.

    Source: HOB
    15498
  • Can I force you to invest in Data Science? Read this.

    Data has become massively complex and encompassing. Contextualising insights, obtained from a multitude of sources, requires an expert eye.

    Source: HOB
    7518
  • Top 10 Highest Paying Computer Science Jobs In 2019, Every Computer Science Eng. & Graduates Should Know

    There is no doubt that computer science is a very marketable course and talk of the town nowadays. Upon your graduation and computer science knowledge, you are guaranteed of landing a high-paying job. On the same note, this course is very wide. Computer science opens you up to many different career options. You can choose to be a software engineer, data analyst, system administrator, security analyst, and many others.

    Source: HOB
    35919
  • Big Changes Big Data is Bringing To The Airline Industry.

    To illustrate how data is playing a growing role in today's flight booking engines I've broken down play by play how each individual piece of data collected about you can be used, analysed and overlaid with other data sets to paint a picture of who you are, what motivates and drives you to purchase a specific product.

    Source: HOB
    6606
  • The Untalked Metadata Importance in Big Data Success.

    Talking to CIOs metadata rarely comes up as a critical priority that they are currently addressing. They seem to keep it buried under mission critical analytics and other data management priorities. But with the increasing onset of Big Data initiatives the value of metadata is now quickly coming to the forefront and is surfacing as a critical priority for Big Data success.

    Source: HOB
    6645
  • Figuring Out Data Trends And Patterns Out Of Raw Data With The Help Of Data Visualisation Tools

    Big Data visualisation is among the utmost important components of working with various Big Data analytics solutions. Once the flow of raw data is represented with images, decision making becomes much easier. In order to meet and exceed the customer's expectations, the tools for Big Data visualization should provide a certain set of features.

    Source: HOB
    10527
  • What Make Professionals To Predict About Artificial Intelligence & Big Data Technologies?

    The Artificial Intelligence environment and the Data that powers it, look very different from a year ago. The predictions below broadly consider the public landscape over the coming year, some of the challenges to consider and how to keep things moving in the right direction.

    Source: HOB
    6771
  • What We Will See As A Future: Algorithm Or Code?

    The current 'big data' era is not new. There have been other periods in human civilisation where we have been overwhelmed by data. By looking at these periods we can understand how a shift from discrete to abstract methods demonstrate why the emphasis should be on algorithms not code.

    Source: HOB
    6969
  • Collection Of Popular Big Data Tools On The Basis Of Popularity, Usefulness And Features

    Big Data industry and data science evolve rapidly and progressed a big deal lately, with multiple Big Data projects and tools launched in 2017. This is one of the hottest IT trends of 2018, along with IoT, blockchain, Artificial and Machine Learning.

    Source: HOB
    25338
  • Know How Data Mining Techniques Add Value To Businesses?

    There are many different types of analysis to retrieve information from big data. Each type of analysis will have a different impact or result. The data mining technique you should use, depends on the kind of business problem that you are trying to solve.

    Source: HOB
    15000
  • The New Spy Tool For Fraud Detection: Machine Learning!!

    Machine learning has been instrumental in solving some of the important business problems such as detecting email spam, focused product recommendation, accurate medical diagnosis etc. The adoption of machine learning (ML) has been accelerated with increasing processing power, availability of big data and advancements in statistical modeling. Fraud management has been painful for banking and commerce industry.

    Source: HOB
    31425
  • Technology The Cyber Security Strategy Demand: Big Data & Machine Learning

    As cyber threats continue to evolve, big data and machine learning are increasingly necessary for a strong cyber security strategy. Will Cappelli, vice president of research at Gartner, says that companies are combining big data and machine learning capabilities as part of a more powerful approach to cyber security.

    Source: HOB
    13533
  • Big Data Analytics might be the cleverest way to improve customer experience

    It's very common for a customer to see advertisements for products that they may have recently searched for, but also sometimes the marketing emails and pop-up ads are not necessarily suitable with the consumer's interests and may come across as more annoying than actually useful.

    Source: HOB
    10362
  • "Big Data" Is One Of The Most Important Asset For The Businesses

    Various business trends today, such as the use of artificial intelligence and multimedia visual marketing, are connected to the concept of Big Data. Every action internet users take generates a data trail, and the amount of machine-generated data is growing too.

    Source: HOB
    6126
  • Listed Books Are The Richest Source To Gain Knowledge On Internet Of Things (IoT)

    The massive upsurge in the availability of data in last few years have fueled this passion for breakthrough innovation. The idea of making human life faster and comfortable is the essence of discovering "Internet of Things".

    Source: HOB
    12939
  • Data is Gold: As Data Exhaust Is A Revenue Opportunity For Businesses

    Data exhaust or exhaust data refers to the trail of data left by the activities of an Internet user during his/her online activity. An enormous amount of often raw data are created. These data (which can take the form of cookies, temporary files, logfiles etc.) can help to improve the online experience.

    Source: HOB
    7212
  • Data is Gold: As Data Exhaust Is A Revenue Opportunity For Businesses

    Data exhaust or exhaust data refers to the trail of data left by the activities of an Internet user during his/her online activity. An enormous amount of often raw data are created. These data (which can take the form of cookies, temporary files, logfiles etc.) can help to improve the online experience.

    Source: HOB
    8820
  • Big Data Big Responsibility!!

    Organizations combine vast amounts of information from several sources some public, some proprietary, some from human activity, some from devices to gain unique insights about human behavior and decisionmaking.

    Source: HOB
    8184
  • Top 26 Big Data Certifications That Will Pay You High Salary

    Data scientists, data analysts, and data engineers are in high demand. Here are the big data and data analytics certifications that will give your career an edge.

    Source: HOB
    32586
  • Top 26 Big Data Certifications That Will Pay You High Salary

    Data scientists, data analysts, and data engineers are in high demand. Here are the big data and data analytics certifications that will give your career an edge.

    Source: HOB
    8223
  • Big Data Is The Helping Hand For Customer Satisfaction

    The rising phenomenon of Big Data, meaning the collection and analysis of vast amounts of data, is something that has been around for a long time. What has changed over the last years, is the way we process that data and how we utilize it in relation to business and society. Thanks to the growth of IoT and the persistent use of social media, we have reached an impressive 2.5 quintillion bytes of data that gets created everyday.

    Source: HOB
    7026
  • How DevOps Play Crucial Role For Data Science?

    DevOps involves infrastructure provisioning, configuration management, continuous integration and deployment, testing and monitoring. DevOps teams have been closely working with the development teams to manage the lifecycle of applications effectively.

    Source: HOB
    23409
  • What Is The Hype Around Big Data Being Used To Monitor The Competition?

    Everybody in this era and age is well-familiar with the power of Big Data and contemporary Machine Learning operations, but few business owners and working professionals seem to have a solid grasp on how to use data to monitor the competition.

    Source: HOB
    6939
  • Know How Artificial Intelligence Is Powering The Financial Market?

    Artificial intelligence is reshaping marketing. AI improves targeting, personalization, and engagement. It gives marketers more time to connect with consumers at the time of need. AI-powered marketing should be a top priority for financial institutions that want to succeed in a hyper-competitive marketplace.

    Source: HOB
    8676
  • When Big Data Join Hands With Machine Learning Leads To Much Smarter Decision

    Machine Learning and Big Data are the two popular terminologies and both are revolutionizing business operations and regularly providing lots of new opportunities. Machine Learning is presently more subject to practical, large-scale applications than it has ever been in past. Big data on the other hand, became a thing in 2013, after it was observed that 90 percent of the world's data was generated in past years.

    Source: HOB
    8556
  • How to Spot a Machine Learning Opportunity, Even If You have not Tech Skills

    Having an intuition for how machine learning algorithms work- even in the most general sense- is becoming an important business skill. As Andrew Ng has written: "Almost all of AI's recent progress is through one type, in which some input data (A) is used to quickly generate some simple response (B)." But how does this work?

    Source: HOB
    13584
  • How Cyber-Security Will Be Benefited By Data Science?

    As cyber threats continue to evolve, data Science and machine learning are increasingly necessary for a strong cyber security strategy. Data science is the field which includes processes and systems to extract knowledge and insights from data in various forms, which is a continuation of data analysis fields as statistics, data mining, and predictive analysis.

    Source: HOB
    8565
  • The Secret For Success: Big Data & Cloud Computing!

    The Big data revolution and cloud computing are getting hype and companies are shifting the way they think the way of doing business to incorporate data that will drive their decision-making process. Business models keeps to grow on a constant basis and are presently targeting a system-wide transition based on a data-centric architecture.

    Source: HOB
    6258
  • What is the assistance of business intelligence software?

    Business intelligence software is a tool which is formed to evaluate and present the typical data into comestible reports for understanding. Company is benefited to achieve the specific goals through identifying SWOT (strengths, weakness, opportunities, threats), measure KPIs, looks the relationships between datasets for informed-decisions and also create understanding for spontaneous decisions.

    Source: HOB
    6273
  • What Are The Big Misconceptions With Big Data?

    It can't be denied that Big Data is a hot topic in present times. But there are businesses still struggling to shift from concept to execution. The only new thing which allows us to make sense of this information is analytics. The primary goal of analytics is the exploration or application of analytic techniques to large amounts of information in variety of types including unstructured data which comprises of text strings, sound and movie files, documents, images, geo-location data, and documents.

    Source: HOB
    6483
  • Artificial Intelligence and Machine learning is a boon for many industries

    Artificial Intelligence and Machine learning is a combination of new technologies and new techniques. Machines become more advanced and easily grab the new inputs and perform a task more like a human. Using these advanced technologies, computers are able to process a large amount of data can easily recognize patterns in the data. These smart technologies are able to deal with complexities and easily learn and predict data. The technical industry is therefore enhanced by the advanced algorithms and it improves the computing power and storage.

    Source: HOB
    7785
  • Machine Learning Usually Face These Hurdles In Big Data Analytics!

    Machine Learning is the subset of Artificial Intelligence and all are the part of computer science. It is a data analysis tool that helps us in automating the tasks. Alternatively, it also provides the machines (computer systems) with the capability to learn from the data, without external help to make decisions with minimum human interference. With the evolution of new technologies, machine learning has changed a lot over the past few years.

    Source: HOB
    14496
  • Top 10 Predictions For AI, Big Data, And Analytics in 2018-19

    A new Forrester Research report, Predictions 2018: The Honeymoon For AI Is Over, predicts that in 2018 enterprises will finally move beyond the hype to recognize that AI requires hard work-planning, deploying, and governing it correctly.

    Source: HOB
    25203
  • How To Mobilize Your C-suite For Big-Data Analytics, ALL CXO Should Know

    Leadership-capacity constraints are undermining many companies' efforts. New management structures, roles, and divisions of labor can all be part of the solution.

    Source: HOB
    7761
  • Data science: It is the way towards the betterment of business values

    In this generation, data is increasing with a great speed and data science has become the most accepted discipline of proficiency. Internet serves you with multiple sources of information on many websites. To make a better use of the data, data science started with statistics. To deal with the issues and provides the solution to the problems, at the later parts algorithms were introduced. The age of digital media and computers has started then. Every data was computerized which became a way to develop artificial intelligence and data analysis.

    Source: HOB
    6531
  • Data Science The Trending Career In The World And Know The Path To Become A Successful Data Scientist

    Data science is basically the application of a combination of mathematical, statistical, analytical and programming skills for the collection, organization, and interpretation of data to allow effective and proper management of the business whose data it is.

    Source: HOB
    39690
  • Data Science Is Most Important Expertise for Future Finance Team: Global Finance Leader Study

    As technology redefines how work is done, finance leaders are having to rethink what constitutes finance talent. The successful finance workers of the future will need skills that are not commonplace in the function today. What are the emerging roles and skill sets of the future finance function?

    Source: HOB
    11055
  • How you can unbolt success and revolutionize your business strategy through data analytics?

    Nowadays every business has big data, and analyzing it has become a significant tool for every business. It changes the way of marketing strategies like how the product is being marketed across various industries. Either it is a startup or a grown up business, every company is considered to be a business of data. In earning the success you need to have data driven strategies which are really needed. if you seem to have fallen in the statistics do not back out, try and collect data to a huge extent.

    Source: HOB
    5844
  • Big Data Services Market Outlook 2023: Global Major Manufacturers Production and Sales Market Comparison

    Global Big Data Services Market report offers clients the most efficient and dependable insight into the Big Data Services market, ranging across different major players.

    Source: RNR
    7257
  • Know The Reason Why Data Analytics Is Heavy Over Data Engineering?

    While several firms have commenced data analytics initiatives, solely some are victorious. Studies have shown that 70% of data analytics programs fail to understand their full potential and over 80% of the digital transformation initiatives fail. Whereas there are several reasons that have an effect on victorious readying of data analytics, one elementary reason is lack of fine quality data. However, several business enterprises understand this and invest considerable time and energy in data cleansing and remediation, technically referred to as data engineering.

    Source: HOB
    7032
  • Businesses by Adopting Big Data Technologies Are Growing At A Robust Pace

    Businesses around the globe have incorporated big data in their operations to make sense of the seeming myriad data generated on a consistent basis. The adoption of big data technology and services has grown at a robust pace among end-use industries. As big data becomes more mainstream, and integration with cloud and artificial intelligence becomes more streamlined, further growth is projected.

    Source: HOB
    22122
  • Top 5 Most Popular Open Source Tools For Handling Big Data

    Gone are the days when banks used to store customer information (such as names, photographs, and specimen signatures) in individual postcard-like data sheets.

    Source: HOB
    7428
  • Nothing Is Persistent: Here The Job Description Of Data Scientist Is Revamping!

    Yet the task description of data scientists is ever-changing. the increase of computing, machine learning, and automatic information assortment means that the character of their work is shifting at a speedy pace. Time-intensive tasks, together with information assortment, have become less primary as they become machine-driven, giving thanks to additional strategic tasks.

    Source: HOB
    8400
  • Can Companies Use Data Science Tools Without Hiring A Data Scientist? 5 Ways

    Companies that fail to apply data science will be at a competitive disadvantage, according to Deloitte. Here's how to take advantage of new tools, staffing models, and training strategies.

    Source: HOB
    23046
  • Know Why Data Science Moved Into Visualization and Machine Learning?

    Data visualization plays a very important part when it comes to communicating the results to the executives. You may have all your fancy formulae and other mechanics at coming to the results, but the executives want to see the results which make sense to them. From the raw data that you have from the various sources, you can get out with certain statistical properties and the sort of analysis that you do and that can then finally be represented in a really meaningful and very precise visual form.

    Source: HOB
    51036
  • Revolutionize Marketing By Artificial Intelligence

    The Internet of Things made possible to turn everyday devices into sources of raw data for analysis to generate useful insights for business It has also seen that Artificial Intelligence (AI) is making analytics more productive and efficient at workplaces too. Enterprises expect much more data to be generated in the years to come as compared to the data generated today.

    Source: HOB
    10557
  • Ways to make a career in Big Data

    Big data is getting more and more important in this generation, giving away to big business. Data is easily be stored, analyzed and collected through the big data process. There is a rapid growth in this industry, so the job for big data is also increasing with huge coverage. Either it's a small industry or a huge one, there is a need for a specialist in big data.

    Source: HOB
    13032
  • Big Data And Its Big Effect!

    Since the earliest times, our social rhythm has been set by the natural world. The rise and fall of the sun and moon, the firmament full of stars and other natural phenomena dictated so much early human behavior.

    Source: HOB
    10284
  • Big Data Can Generate Topics For Content Writing!

    Did you know most of the information you consume now was created in the last two years? In the next two years, around 1.7 megabytes of information will be generated every second for every human being in the world.

    Source: HOB
    15210
  • Top 5 Data Science & Technology Trends To Watch In 2019

    Data science covers a vast network of topics under its umbrella including Deep learning, IoT, AI, and various others. It is a comprehensive amalgamation of data inference, analysis, algorithm computation and technology to solve multifaceted business problems.

    Source: HOB
    17214
  • Data Science Roles & How They Interact In 2019?

    It's that time of year again when I look into the Crystal Skull...er, ball, and make some predictions of the continuing challenges and new trends I foresee in Big Data and Data Science for 2019.

    Source: HOB
    37911
  • Which Programming Language Is Most Popular For Big Data?

    Nothing is quite so personal for programmers as what language they use. Why a data scientist, engineer, or application developer picks one over the other has as much to do with personal preference and their employers' IT culture as it does the qualities and characteristics of the language itself. But when it comes to big data, there are some definite patterns that emerge.

    Source: HOB
    31260
  • Big data: How small businesses can use it

    It is noted that business intelligence and big data can only be used for enterprise companies. But now even small businesses can easily afford to track into the information wealth. It is not easy for small businesses to become data-driven as they also deal with the records which are complex and it is really difficult to process and interpret into insights which your business can actually use.

    Source: HOB
    9144
  • Evolution Of Data Science In Cybersecurity And Big Data Analytics!

    Data Science & Cybersecurity, what is big data analytics? Why is machine learning applications so important? Why did InfoSec Professionals require to learn about DS? What to know about "data bots" as a data science professional? Differences in data science vs machine learning? How to crack cybersecurity jobs with data science advantage?

    Source: HOB
    13203
  • Reasons why Indian Professionals Learn Data Analytics and AI Engineering?

    New digital technologies could bring over $150 billion (Rs10.7 lakh crore) to India's GDP by 2021. So, many Indian professionals are choosing to learn new skills in order to cash in on this economic transformation.

    Source: HOB
    7452
  • Machine learning: What every manager should be aware of?

    So these days you have multiple options of an algorithm that can drive a car? A picture can be scanned! Or in a crowd, you can easily find your face! It seems that these days every company is searching some new uses for adapting algorithms as new data is being encountered. It is said that Machine learning drives everything in every company.

    Source: HOB
    16149
  • How Businesses Are Taking Advantage Of Big Data Trends?

    The amount of data generated these days from all business domains conjointly called massive data is large, encompassing data gathering, data analysis, and data implementation method.

    Source: HOB
    8280
  • Online courses on multiple sites for big data analysis

    Skills of data analytics have become the leading factor in terms of the advanced development and for the career perspective, the demand of the data analyst is increasing day by day. There are several online courses which you would prefer if you want to build your career as a data analyst as it will help you to learn the fundamentals of data science, the key tools of data science and the study of programming languages in the analysis of big data.

    Source: HOB
    13452
  • Guide for becoming a data engineer

    The rates of unemployment are at a lower phase and the economy is booming. There are many companies who are facing the shortage of data engineers and wanted some professionals with high skills. It is really difficult to get skills for both data scientist and data engineer in the same file while taking the step towards it is the personal choice which profiles you want your career to be in.

    Source: HOB
    11214
  • The Efficacy Of Data Recovery Services Is Refining With Big Data

    The global huge data market is growing at an unexampled pace. One study from Wikibon showed that the market is growing at a rate of 10.48% a year. Because the price of the large data market continues to grow, structure dependence on that can solidify further. This solely becomes a controversy once data servers become inaccessible or data is accidentally or deliberately destroyed. Enter the data recovery industry.

    Source: HOB
    6651
  • Become a Pro with some Machine Learning and Deep Learning Courses

    Willing to master in machine learning and deep learning? So make a career in the recent and most demanding subject today. The future will be in your own palms.

    Source: HOB
    18681
  • Revamping The Experience Of Big Data Analytics!

    According to a replacement, eBook OmniSci titled The OmniSci Extreme Analytics Platform: Revamping the expertise of huge data Analytics, all of them use the acute Analytics platform to form a sense of the huge amounts of vital, time period data they're perpetually accumulating.

    Source: HOB
    9573
  • Development of Legal industry through Big Data

    Across many industries, big data is being used to drive decisions which are informed and better ones. But it is used in the legal industry is relatively new, mainly because most law firms are resistant to both change and new IT expenditures on unfamiliar initiatives.

    Source: HOB
    6459
  • What Are The Reasons Behind Opting Big Data Certification Courses?

    Modernization and efficiency are essential in the face of the prevailing climate of fierce competition in today's world of business. A huge part of this is being driven by Data Analytics. Due to the market's appetite for high-level skills when it comes to going through a huge pile of data, and analyzing the bigger picture, collecting, managing and providing precise results, this field has become extremely critical.

    Source: HOB
    15021
  • Future of Blockchain and artificial intelligence

    Blockchain is a secret story which deals with the foundation for cryptocurrencies like Bitcoin. When blockchain is compared to big data distributed database like MongoDB which is traditional, what is different in it. Computers have the ability to simulate the sensation of the brain, take action and make interactions and the ability of cognition.

    Source: HOB
    10416
  • Enlarge your small business through data analysis

    They want to make most of every dollar they spend. Data analysis that helps those small business owners target their customers is an essential element of success and the quality of that analysis could mean the difference between a profit and a loss.

    Source: HOB
    7122
  • How Does Data Science Influence Everyday Life For The Better

    Let's be honest, today "big data" is sort of a dirty word in the public consciousness. It is associated closely with profit maximization techniques (such as recommendation lists on e-commerce sites and targeted ads), high-profile data leaks and privacy issues.

    Source: HOB
    33381
  • Hadoop: The Savior For Large Data Analytics

    The large heap of data generated every day is giving rise to the massive information and correct analysis of this data is obtaining the need for each organization. Hadoop is a savior for large Data Analytics and assists the organizations to manage the data effectively.

    Source: HOB
    21597
  • In Modern World How IoT Is Advancing Agricultural Practices?

    These days Internet of Things-connected devices impact pretty much every aspect of our life health and fitness, automotive and logistics, smart homes, smart cities, and industrial IoT. Farming and agriculture have seen many technological transformations in the last decades, becoming more industrialized and technology-driven. In this way have we seen IoT, connected devices, and automation finds applications in the modern world of farming and agriculture.

    Source: HOB
    16194
  • Adoption Of Hadoop By Companies As Big Data and AI Technologies Will Rule The Market

    Big Data is immense at the moment. From a startup to a healthcare firm, from a big MNC to an agricultural field, Big Data is being used almost everywhere. Therefore, the cope in the world of Big Data is immense. Also, as the Big Data industry is pretty huge, therefore, it may not be easy to grasp complete knowledge of the department together. It can be a little scary to learn every aspect of Big Data as well as the related technologies.

    Source: HOB
    9717
  • 8 Easy Steps To Learn Data Science in 2019

    Want to learn data science? Check out these 8 easy steps to set out in the right direction!

    Source: HOB
    23955
  • Development of the Fashion Industry through personalization tools of Artificial Intelligence

    Similarly to almost every single industry, through the technological revolution which is ongoing, the fashion industry has been stormed. Recent evolutions in the technologies which are causing trouble such as artificial intelligence, machine learning, and others are leading us all towards the 4th Industrial Age.

    Source: HOB
    6951
  • What Are The Major Hurdles Of Machine Learning With Big Data Analytics?

    Machine Learning is a branch of computer science, a field of Artificial Intelligence. It is a data analysis method that further helps in automating the analytical model building. Alternatively, as the word indicates, it provides the machines (computer systems) with the capability to learn from the data, without external help to make decisions with minimum human interference. With the evolution of new technologies, machine learning has changed a lot over the past few years.

    Source: HOB
    8874
  • WORTH READING BOOKS ON ARTIFICIAL INTELLIGENCE ETHICS

    For Artificial Intelligence, What do you mean by Ethics? Well, that is a good starting point because there are different sorts of questions that are being asked in the books I am looking at. One of the kinds of questions was asking is: what sorts of ethical issues is artificial intelligence, Artificial Intelligence, going to bring? AI encompasses so many different applications that it could raise a really wide variety of different questions.

    Source: HOB
    13266
  • Drawbacks through which Analytics Strategy stopped working

    There are multiple reasons why your analytics strategy might not be working. Here is the overview of why is it so and how you can overcome them.

    Source: HOB
    8202
  • Global Big Data and Data Engineering Services Market 2018 Research Strategies and Forecasts, to 2025

    Global Big Data and Data Engineering Services Market by Service Type (Data Modeling, Data Integration, Others), Business Function, Organization Size, Industry, Region, Global Industry Analysis, Market Size, Share, Growth, Trends, and Forecast 2018 to 2025.

    Source: https://www.fiormarkets.com/report/global-big-data-and-data-engineering-services-market-362226.html
    6111
  • Big Data Software Market 2014-2024 By Product, Connectivity, Application, Development, Growth And Segment Forecasts

    Global Big Data Software market research report 2019 get in depth study about the new development and recent trends of Big Data Software in China the report also reveals general situation of the industry and future forecast.

    Source: RNR
    4521
  • Want to become a Machine Learning Engineer, Grab these 5 Skills which are Must

    The fine must have skills to become a Machine Learning Engineer are explained well here which may benefit you for making your future safe.

    Source: HOB
    23508
  • The Difference Between The Big 3 Terminologies: Data Science, Big Data And Data Analytics

    Data is gold and data is all around and the amount of data is increasing rapidly. According to IBM, 2.5 billion gigabytes of data was generated every day.

    Source: HOB
    17127
  • Visualize The Gap Between The Data and Your Analytics

    More consumers are beginning to opt for transmitting content over traditional television. Traditional computers are getting old and consumers these days are opting more for the streaming content.

    Source: HOB
    6210
  • Must Read: Books Thriving Your Data Science Knowledge

    If you're a beginner or experienced as a Data Scientist then you must aware of these data science books. Books are the best source to get insights and increase our knowledge.

    Source: HOB
    10026
  • Big Data Bangs With Big Insights

    It is very hard to predict about the future, everything is all left in insights of what will happen around the analytics of data in the upcoming years.

    Source: HOB
    7029
  • Go With Big Data Courses In The Data Driven World

    We are living in an economy which is completely data-driven. Big data courses play a vital role in your career as they can allow you to be a much more effective contributor to the company's bottom line.

    Source: HOB
    10983
  • Collection of Best Books On Data Science From Its Library

    As time flies, now big tycoons are more focused on data. That's the reason many of the people building businesses today are putting analytics and data science at the center of their strategy and operations.

    Source: HOB
    17553
  • See The Reinvention of World through Artificial Intelligence

    There is a very fast evolvement in the world with Artificial Intelligence and our lifestyle is also changing by it.

    Source: HOB
    6633
  • Must Attend These 3 Leading Conferences On Artificial Intelligence and Machine Learning

    If you really want to get insight into these latest technologies like artificial intelligence and machine learning than you must attend these following conferences.

    Source: HOB
    10851
  • Top 6 Government Project Will Influence Big Data & IoT In 2019

    Learn which innovations and developments found in aerospace and defense will enter the commercial market as products and new capabilities for big data and IoT in the new year.

    Source: HOB
    12720
  • Know the Difference Between Public, Private and Hybrid Cloud

    In order to understand what hybrid cloud is it's first important to understand the underlying components that make up the cloud in a standard traditional IT model. The enterprise manages and controls the network connections to the private or public internet.

    Source: HOB
    14307
  • Why Big Data Is Required For Content Management

    Data science teams need content managers. Here are 3 ways you can incorporate content management into your data science and analytics.

    Source: HOB
    14757
  • How Youths Future Is Getting Reshaped Through Big Data Analytics

    There are several trends in the field where there is a need to be familiar with big data. Big data is the data which consists of volumes greater than 1 petabyte, or 1 million gigabytes.

    Source: HOB
    6012
  • Which Programming Language Use To Developer Big Data Frameworks In 2019

    I have briefly discussed some of the most popular Big Data frameworks and showed that Java is the de-facto programming language in Data Intensive frameworks. Java had significant advantages (e.g. Platform Independence, Productivity, JVM) over other languages during the timeframe 2004â??2014 when most of the dominant Big Data frameworks were developed.

    Source: HOB
    12447
  • Bang! Bang! Big Data World

    Big data is now becoming popular for the 21st century as it is consumed and utilized by the businesses in large quantity.

    Source: HOB
    7251
  • Learn The Basics Of Data Science

    Know the basics of data science to build your career and have influenced learning capabilities.

    Source: HOB
    7344
  • Books: Make Your Skills More Dynamic For Big Data

    As you can see these days there are millions of data generated and big data has become the most demanding tech in the world.

    Source: HOB
    5976
  • Blockchain Technology Appeals To The Data Scientists. How?

    In regards to bitcoin, blockchains implications to data science are quite transparent.

    Source: HOB
    6360
  • Master Data Science: Top Courses By edX

    Here are some courses in Data Science which will take you to the real world of data science.

    Source: HOB
    6702
  • What is Big Data? What are the Types? How it is Used?

    According to Gartner, Big Data is high-volume, velocity and variety information assets that demand cost-effective, innovative forms of business processing for enhanced insight and decision making.

    Source: HOB
    15210
  • Beginner's Guide to understand Hadoop and Spark in Data Science

    Hadoop and Spark both are used by businesses today to process big data.

    Source: HOB
    18324
  • Data Scientist Intro, Jobs and Organizations

    A highly professional and skilled having the ability for collecting a large amount of data for analyzing and synthesizing the information into the actionable plans for many companies and organizations.

    Source: HOB
    6561
  • Which one is best, SAS or R?

    The Graphics supported by R and its statistical features are considered better than SAS.

    Source: HOB
    9030
  • Must Enroll For Data Science Courses For Certification

    Here are some online courses which will give you more of data science knowledge and help you build a lucrative career.

    Source: HOB
    7425
  • Get your job in 90 days with some free Machine Learning Courses

    Here are some machine learning courses which will help you to begin your career at an earlier stage of learning.

    Source: HOB
    19071
  • Big Data Analytics Have Top Job Demand For Youths

    Big Data is a popular term you must familiar with it. Big Data is exactly what the name implies as data which consists of volumes greater than 1 petabyte, or 1 million gigabytes. This data is stored in servers and gives different results by using different analysis techniques based on the needs of the users.

    Source: HOB
    19305
  • How Artificial Intelligence is going to affect your Workplace in the Future?

    Companies are investing huge amounts to adapt Artificial Intelligence into their businesses to help them increase their operational efficiency.

    Source: HOB
    5169
  • Why Big Data Analytics is a Buzzword and demands its Understanding today?

    Big Data as defined by Gartner is high volume, high velocity and/or high variety information assets that demand cost-effective, innovative forms of information processing that enable enhanced insight, decision making, and process automation.

    Source: HOB
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    Data is run by Deep learning algorithms through multiple layers of the algorithms of the neural network each of which passes a simplified representation of the data to the next layer.

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    45264
  • Stay Tuned With Data Science Updates On Top LinkedIn Groups

    LinkedIn is a very good place for the professionals to gather, connect with others, share ideas and network. If you are in a Data Science or predictive analytics space, or if you are seeking for additional insights and what all industries are talking about, for all these LinkedIn professional groups are a great place to start.

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    A data scientist uses statistical methods, such as mix modeling, predictive response modeling, sales response modeling, experimental design, CART/CHAID, latent class segmentation, cross-sectional and time series analysis, discrete choice modeling, data mining and optimization techniques to cater client business requirements.

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    It can't be denied that Big Data is a hot topic in present times. But there are businesses still struggling to shift from concept to execution.

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  • Three Types of Analytics To Get You Started with Big Data Analytics

    Understanding the types of analytics will what give a beginner a deep understanding of the workings involved with Big Data.

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    Data science is one of the most current and diverse fields of technology today. It is all about collecting data which are unstructured and raw in the form and then finding insights from it; can help any venture become more profitable.

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  • Six Reasons Why You Should Consider a Career in Cyber Security

    In an age of Data and technology where almost every of the information has been put digitally and cyber crimes have increased in the recent past, the need for cybersecurity is at its peak. Starting a career in Cyber Security is worth considering in the present scenario.

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  • Master in Cloud Computing with some well-known Books

    If you need a data center but don't want to deal with a physical one, Google Cloud Platform is the solution.

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  • 4 Technologies that have Revolutionized the World

    The article draws out 5 technologies that have completely revolutionized the world today. This article is written with the intention to make you aware of how powerful the influence of technology is in our lives today.

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    These courses are designed to prepare you to be more successful in businesses strategic planning in the upcoming big data era.

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  • Data Visualisation Tools Every Beginner and Expert Should Know

    A right toolset with the right set of skills is all that you need to make your Data visualization the best. I have discussed 4 such best tools here which are also used by the majority of the companies and must be looked by you as well so that you do not miss the right toolset

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    With all the data of the businesses stored in the cloud, network securities are a major issue faced in the present times.

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  • Become a Pro with some Machine Learning and Deep Learning Courses

    Willing to master in machine learning and deep learning? So make a career in the recent and most demanding subject today. The future will be in your own palms.

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    Some courses which are free from edX and will make your learning more influencing and interesting.

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    Machine Learning and Artificial Intelligence workshops for professionals which will help them to grow in this field and know about what is exactly happening with these technologies.

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  • Courses which every tech person can ENROLL through Multiple Universities Part 2

    In Part 1, I have already discussed some of the courses related to Programming, Engineering, Computer science, and social science and rest courses related to science, personal development and many more will be in Part 2.

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    People often argue about which programming language is superior, PHP or Python.

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    19563
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    With more than trillion bytes of Data being created every day and the need for its management, storage, and processing Cloud has emerged as the best technology for the present and the future that offers businesses to solve problems with Data.

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    These are some of the top predictions by Gartner on Data and Analytics for 2019 which were published on its recent report.

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    5973
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    If you are one of those candidates who is a graduate and finding the right university for Data Science in the US than you need not worry because I have done your tiresome task of researching and have come here with the best 10 universities which you can consider for MS in Data Science in the US.

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    6519
  • Top 12 Data Science Podcasts You Must listen to in 2019

    Either you are traveling to work or are not engaged in any mental activity or have any constraint in your eyes to read a book or watch an informative video you can easily refer to a podcast to get yourself updated in your specialization.

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    Whether you just want to stay informed in the data craze or you're looking to kickstart your data science or data literacy journey, this article features a list of books.

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  • A complete Beginner's guide in Data Science

    For a beginner who want to start a career in Data Science, a lot of online platforms are available providing a bunch of information about the field and offering several courses but still there is some ambiguity that still lies in the mind of the aspirants about the careers, salaries, growth rate, skills, and the the various positions in Data Science.

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  • Momentum Skill approach to all the Job Viewers of the Technical Sector

    Many technical skills require training and experience to master. They are also typically a type of hard skill. Hard skills are those that can be taught in a classroom and can be defined, evaluated, and measured.

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    6669
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    In this data-driven world usage of words like Data Analysis, Data Mining, Data Science, Machine Learning, and Big Data are common and are often used by the professionals in the field. Often these terms are confusing to a beginner and the terms seem similar to a novice in the field.

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    119853
  • The Golden Phase of Learning Data Science and becoming a Data Scientist through Online Lectures

    Here you will find multiple websites offering you various courses in data science which have perks of learning and provide online lectures too as per your convenience.

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    8379
  • Recommended: Best Online courses to learn Apache Hadoop

    Processing a large number of big datasets is a challenge faced by companies until the advent of Apache Hadoop and Spark. Hadoop and Spark provide businesses with that data processing speed that businesses have always dreamt of with their data.

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    7707
  • Order a bundle having 8 courses, 506 lessons, and 2839 enrollment through which you can also master in Machine Learning

    This bundle helps you dive in, with over 400 video tutorials on machine learning and data science. The lessons show you how to build machine learning algorithms and neural networks, using popular frameworks such as TensorFlow and Keras.

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    6537
  • A Training Program for beginners which covers the major difference between AI, ML and Deep Learning

    This Edureka Machine Learning tutorial (Machine Learning Tutorial with Python talks about the differences and relationship between AI, Machine Learning and Deep Learning.

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    If you think that data science is not a job which needs proper skills, here are some reasons where you will see the fact.

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  • Excel these 5 Skills Today to Become a Big Data Analyst

    A Big Data Analyst is the person in the organization who collects data from various resources, clean it for further processing, converts it into another format which is easy to analyze (also called Data Munging) and finally analyze it for finding hidden patterns and useful information from it (also called insights).

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    12774
  • Master IoT with these Best Books Available online

    If you are a novice and keen to learn about IoT and several of its applications that it can provide to the business and the society than you do not have to worry for the resources to learn from because books that are mentioned in the present article are best to learn from.

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    11025
  • Which Global Cities are entertaining Data Scientist with a Good Salary Pay?

    Here this article will take you with the view of some cities which will entertain you with the highest pay packages as a role of a data scientist.

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    6903
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    Choosing the best cloud service for your organization is the necessity today. But, choosing a cloud is not that much easy as it looks when there are multiple services offered by the cloud with the multiple of companies offering those.

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    7959
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    Technologies such as Hadoop, MapReduce, Apache Spark have brought a revolution in the ways of analyzing big data. This is probably the best time to make your career in Big Data. I believe, nothing beat books when it comes to learning a concept to its core.

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    5895
  • Learn Hadoop, Spark and find out which is Best through these videos

    The rise of Big Data has raised the necessity of the organizations to adopt technologies which are good at processing big Data at higher execution speed. Hadoop and Spark are the big contenders in that.

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    6495
  • Cloud Computing Books Every Learner should Begin with

    Learning Cloud Computing is easy when taken the help from the best resources. Books are always the best resources to consider for that. The present article discusses the top level books that every aspirant in cloud computing should refer to.

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    13095
  • See some Best-Known Big Data tools, their Advantages and Disadvantages to Analyze your Data

    So here are some Big Data Analytics tools which we will explore in detail in this article.

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    33018
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    Big Data is a buzz today and so Big Data Analytics! According to a piece of information from ResearchandMarkets.com, The big data analytics industry will reach a global market worth of $40.6 billion by 2023.

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    16716
  • Data Scientist should admire these famous authors for some Famous Data Science books

    Some books which will help data scientist to cope up with professional learning.

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    5523
  • Tutorial and A Course which will help you to clarify the existence of Hadoop for Big Data problem

    If you want to know that what is Big data, what is Hadoop and how people came to know about Hadoop, this Hadoop tutorial will teach you the exact meaning of it.

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    7656
  • Crack Interviews: Top Frequently Asked Questions on Big Data and Hadoop

    As companies need to deal with the Big Data every day, recruiters look for the skill of handling this Big Data in the potential candidates and questions on Big Data and Hadoop are the most frequent one asked by recruiters in the interviews.

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    10551
  • Millions of Lives could be saved using Big Data Analytics in Healthcare

    Using Big Data Analytics a number of patients' lives have been saved because it has become possible for health practitioners now to predict the chronic diseases of the patients with the help of smart predictive software.

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    5871
  • Two famous different technology trends which are hard to talk one without the other: Big Data and IoT

    Here we breakdown how big data and IoT are different. Yet, despite their intimate connection, they are, in fact, two different technology trends.

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    8367
  • Scammers can now be caught with the new Artificial Intelligence Program: Ghost Writer

    The University of Copenhagen researchers recently used big data and artificial intelligence together, to determine whether a student wrote his assignment by his own or copied it from somewhere else- with nearly 90 percent accuracy.

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    9309
  • Top companies paying a Higher Salary to Data Scientists in India

    Companies are throwing huge salaries at those having the skills to take on the positions of Data Analysts, Scientists, Engineers, etc.

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    42399
  • Know Why Predictive Analytics is the need for Businesses today with some top Predictive Analytics Tools

    To make any business successful and work for a longer time, a Proactive and forward-looking approach is needed and this is the only approach by which businesses plan strategies for the future. Using Predictive Analytics businesses make use of their past and present data to predict future certainties.

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    5505
  • 5 Data Science Blogs that Every Beginner and Professional should follow in Data Science

    Whether you are a Professional or a beginner, staying updated on the latest trends in your field is the one thing that you should daily. In this article, we have listed the top 5 Data Science Blogs that every beginner and Professional must follow.

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    9186
  • Learn from the Industry Experts and Professionals to grow a Career in Data Science

    You may have learned about the top skills of Data Scientists through various blogs, but learning from an expert is the one thing that you should do now.

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    12060
  • Learn from the Industry Experts and Professionals to grow a Career in Data Science

    You may have learned about the top skills of Data Scientists through various blogs, but learning from an expert is the one thing that you should do now.

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    10083
  • 5 Best YouTube Channels You Should Follow for Machine Learning

    In this article, we will look at the best YouTube Channels that a learner must follow for Machine Learning.

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    15720
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    Handling Big Data is the major priority of businesses today. In this article, we will go through 5 such amazing books to handle big data.

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    6894
  • Books which will be highlighting the Algorithms of Machine Learning

    The real power of machine learning resides in its algorithms, which make even the most difficult things capable of being handled by machines.

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    7350
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    Big Data demands a cost-effective, innovative solution to store and analyze it. Hadoop is the answer to all Big Data requirements. So, let's explore why Hadoop is so important.

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    7581
  • Top Tools of Machine Learning and Artificial Intelligence which should be noticed by every Developer

    Today, it's radically changing the way we think about technology. From fraud detection to virtual assistants like Siri, AI and machine learning (ML) is going through a period of significant acceleration.

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    6153
  • How to Begin and Enroll for Data Science Courses easily?

    Some books which will help data scientist to build their career with these famous Data Science courses.

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    7272
  • Here are 3 famous Youtube videos covering the in-depth Analysis of Hadoop

    Some famous youtube videos which will take you deep into the learning of Hadoop.

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    5472
  • Keep in Mind some points before Learning Machine Learning

    Not sure which course you are referring to in particular. The general basics required for machine learning are here.

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    6408
  • See How Hadoop easily distorted Big Data

    Technology growth within the last decade has been so huge that things once considered inconceivable are now commonplace and functions and jobs that once required high skills and extensive training can now be performed by almost anyone.

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    5625
  • Top Online courses with certificates for every Data Scientist

    Demand for skilled data scientists continues to be sky-high, with IBM recently predicting that there will be a 28% increase in the number of employed data scientists in the next two years.

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    10185
  • Some Data Visualization tools will be more seen in the year 2019

    Data visualization is one of the most critical skills for any analyst and really most business people to know.

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    6834
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    A world where 2.5 quintillion bytes of data is produced every day a professional who can take all these enormous resources and provide the frameworks for a business solution is indeed a hero. In this module, we are going to talk about how to become a big data engineer before we begin we talk about the role and description.

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    11511
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    Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations, and the execution pipeline.

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    8184
  • Tutorial of Pytorch: A Deep Learning Model

    Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.

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    6141
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    Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person.

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    8361
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    6141
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    7059
  • Top Website HOUSE OF BOTS for Tech related articles and Recent Tech Jobs

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    6627
  • How Hadoop Tools improvises Big Data?

    Big Data tools and techniques help the companies to illustrate the huge amount of data quicker; which helps to raise production efficiency and improves new dataâ??driven products and services.

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    6894
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    6327
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    Researchers are looking for ways to take big data to the next level by combining it with AI. We've just recently realized how powerful big data can be, and by uniting it with AI, big data is swiftly marching towards a level of maturity that promises a bigger, industry-wide disruption.

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    4926
  • Top benefits of Hadoop Training

    This training and certification for professionals have opened up a world of opportunities as it will enable professionals to help in proper structuring and management of enterprise data.

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    5178
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    7119
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    9057
  • Famous Tutorials of the Data Visualization Techniques

    Some Tutorials which will give you a brief introduction of data visualization techniques and help you master this field.

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    Machine Learning is a branch of computer science, a field of Artificial Intelligence. It is a data analysis method that further helps in automating the analytical model building.

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    6495
  • Make Machine Learning Algorithms on your Tips

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    6630
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    It is a rapidly famous term used to describe the exponential growth and availability of both structured and unstructured data.

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    5583
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    Developers who are moving towards Artificial intelligence and Machine learning are confused as which language is the best choice.

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    7248
  • Which Programming Language is best for Artificial Intelligence and Machine Learning?

    Developers who are moving towards Artificial intelligence and Machine learning are confused as which language is the best choice.

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    9486
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    27492
  • Basics of Deep Learning with open source Apache Tools

    This video will give you multiple examples of Apache Hadoop, Apache Hive, Apache MXNet, Apache OpenNLP, Apache NiFi and Apache Spark for deep learning applications.

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    6276
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    A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges. The goal of data science is to improve decision making through the analysis of data.

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    21267
  • Beginners should use Keras for Creating Deep Learning models

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  • Free Tutorial with Big Data and Hadoop Course

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    3957
  • Free Tutorial with Big Data and Hadoop Course

    Big Data and Hadoop training course are designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of concepts such as Hadoop Distributed File System, Setting up the Hadoop Cluster, Map-Reduce, PIG, HIVE, HBase, Zookeeper, SQOOP, etc. will be covered in the course.

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    10506
  • Some cases where Artificial intelligence is boosting up the Financial Industry

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  • Big Data Courses with Its famous Frameworks: Apache, Hadoop, etc

    Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be.

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    6507
  • Famous Data Science books for the year 2019

    Data Scientist should have hands-on these data science books which will enhance their in-depth knowledge.

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    8343
  • How Big Data will work transformationally?

    Going forward, big data analytics will continue to tell companies what the users want. This will have a significant impact on how funds are distributed across genres.

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    5823
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    Data science is a present-day technology world using a very common term. It is a multi-disciplinary entity that deals with data in a structured and unstructured manner.

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    Machine learning is the buzzword bringing computer science and statistics together to build smart and efficient models. Here are some famous machine learning tools to learn from some famous books.

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    5364
  • Multiple Platforms Through which Big Data is created

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    5622
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    One of the most misunderstood terms in technology is artificial intelligence. There have been several arguments about how this could result in a very disturbing concept for the human race.

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    5541
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    11031
  • Top famous Technological Tends to follow for future profit

    Here in this article you will find put some technological standards that will end up revolutionizing every industry, in an age when digital transformation plays a major role.

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    5532
  • A basic guide to Machine Learning

    A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.

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    6045
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    If you are looking to start a new career that is in high demand, then you need to continue reading.

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    9579
  • 2K18-2K26 will be the year of flourishment for the market of Hadoop and Big Data Analytics

    Hadoop and Big Data Analytics industry report covers the prospects of Hadoop and Big Data Analytics in the forecast period of 2018-2026 and the scenario.

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    6072
  • Famous Course : The Ultimate Hands-On Hadoop-Tame your Big Data!

    The world of Hadoop and Big Data can be intimidating - hundreds of different technologies with cryptic names form the Hadoop ecosystem.

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    5505
  • Make good research in Data Visualization to make a marvelous Career

    Data visualization is the graphic representation of data analysis to achieve clear and effective communication of results and insights.

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    6738
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    The wide application of Information Technology and Computer Science has given rise to so many new fields in the corporate sector which have enormous potentials and possibilities.

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  • Machine Learning Platform is enlarged by Explorium in U.S Israel by $19 million

    The U.S.-Israeli data science firm Explorium raised $19 million in private funding to expand its new machine learning platform, Reuters reported on Wednesday (Sept. 11).

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    4884
  • These Books introduce you to a career in Machine Learning

    Machine Learning with AWS is the right place to start if you are a beginner interested in learning uses artificial intelligence (AI) and machine learning skills using Amazon Web Services (AWS), the most popular and powerful cloud platform.

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    5976
  • Can Big Data Analytics transmute youth's future?

    Big data analytics is all about how you store the huge amount of data and how you process it to get meaning out of it to draw conclusions and make the correct business decisions.

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    5424
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    The high salary prospects and the job prospects of a data scientist are the major attractions for the new entrants or the freshers.

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    5100
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    With the world of technology accelerating at a great speed, a number of popular programming technologies have gone obsolete within recent years. All those programming methodologies are now overshadowed by newer trends which, deliver faster development and wider capabilities.

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    4983
  • Easy books of Data Science for professionals: Get hired in Big Companies

    Learn the fundamentals of computational mathematics and statistics, as well as some pseudocode being used today by data scientists and analysts.

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    5505
  • Some major reasons for the rise of Big Data Ecosystem

    There are many factors that contributed to the emergence of today's big data ecosystem, but there's a general consensus that big data came about because of a range of hardware and software designs that simply allowed big data to existing.

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    5178
  • Some expected Big Data trends for the year 2019

    The overall importance of data and information within organizations has continued to grow. We've also seen the continued rise of megatrends like IoT, big data - even too much data - and of course, machine learning.

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    7485
  • Some ways how Big Data can improve customer retention

    Big Data not only helps you bring in new customers, but it also allows for the collection of customer intelligence, which can be utilized to improve customer retention. Let's look at five ways that using Big Data can help improve customer retention.

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    5700
  • Top Big Data Certifications for Professionals in 2019

    Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.

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    7104
  • By 2035, global Economy will boost by Artificial Intelligence

    By 2035, this A.I.-powered push will provide a $14 trillion boost to the global economy, consulting giant Accenture predicts.

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    6678
  • Working of Big Data and AI in a connected way

    Big data isn't quite the term de rigueur that it was a few years ago, but that doesn't mean it went anywhere. If anything, big data has just been getting bigger.

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    8607
  • Ways to revive your career in Data Science

    Launch Your Career in Data Science. A ten-course introduction to data science developed and taught by leading professors.

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    5250
  • Major Advantages of Artificial Intelligence

    What this simply means is that artificial intelligence can help to improve human life and reduce stress. Here are the benefits of artificial intelligence.

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    5094
  • Get certified in Big Data with some Online Courses

    Learn how big data is driving organizational change and essential analytical tools and techniques, including data mining and PageRank algorithms.

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    4413
  • Multiple Faces of Data Visualization

    Data Visualization has become one of the common buzz phrases swirling around the internet these days.

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    4500
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