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  • Artificial Intelligence
  • 7 Ways AI Could Save the Government Money and Boost Productivity

    Artificial intelligence offers feds the "tantalizing possibility" of increased speed, enhanced quality and lower costs, a Deloitte report says.

    Source: FedTech
    16374
  • 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
    10830
  • The Difference Between Data Science and Data Analytics

    Data science and data analytics: people working in the tech field or other related industries probably hear these terms all the time, often interchangeably.

    Source: Insidebigdata
    23742
  • 18 New Books for Data Scientists, Machine Learning, on R and Python Must Read!

    Understanding machine learning & data science is easy. There are numerous open courses which you can take up right now and get started. But, acquiring in-depth knowledge of a subject requires extra effort.

    Source: HOB Team
    31350
  • 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
    10617
  • 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
    13011
  • For IT Professionals, A New $16 Billion Opportunity Opens Up

    Big Data analytics sector in India is expected to witness eight-fold growth by 2025 - from the current $2 billion to reach $16 billion, say industry experts.

    Source: NDTV
    11367
  • You Can Get A Data Analytics Job Without A Masters In Data Science

    A lot of people reach out to me. They needs jobs. But they are asking about school.

    Source: Forbes
    10158
  • How Artificial Intelligence benefits companies and ups their game

    Artificial intelligence-driven technology revolution is expected to impact all sectors. Some firms have already deployed AI solutions and are reaping the benefits

    Source: Livemint
    17457
  • How Data And Analytics Are Changing The Face Of Modern Marketing

    Recently, I posted an interview conducted with Wes Nichols, the former CEO of MarketShare, on the ways in which data and analytics are impacting organizations (see here for the article and video). Below, I share Nichols' interesting perspective on how these changes will impact the future of marketing.

    Source: Forbes
    9258
  • 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
    10980
  • Infosys eyeing tie-ups for Artificial Intelligence, data analytics

    Infosys is seeking to leverage artificial intelligence and data analytics to help win more business from its own Fortune 500 clients and help run their businesses better

    Source: Mint
    10209
  • Opinion Data engineers will be more important than data scientists

    Does it seem like the ability to find, hire and retain data scientists is a losing battle? Is spending $500.000-plus per year for a data scientist worth it? What is a data scientist anyway?

    Source: IM
    15216
  • 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
    12705
  • Startup Watchlist: 10 Indian AI Startups To Watch Out For In 2018

    Indian AI Startups Raised About $87.85 Mn In 2017

    Source: Inc42
    32862
  • Actor Rajinikanth to use research, data analytics in politics

    Actor Rajinikanth's announcement on Sunday of his plans to launch a political party may not be just a whimsical statement to buy peace with lakhs of his fans with growing aspirations. He had been doing a lot of homework and much more

    Source: Times of India
    13593
  • 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
    16167
  • Edge computing is going to change how the government operates

    Just consider the fact, In an average winter, Kentucky's Department of Transportation spend somewhere between $45 million to $75 million on snow removal & road salting. However, during the harsh winter of 2014-15

    Source: HOB
    9825
  • Australian Securities Exchange look upon artificial intelligence and big data analytics

    The Australian Securities Exchange (ASX) has published its financial results for the first half of the year. The results showed AU$230.5 million in after-tax profit and an increase of AU$11.1 million over the year.

    Source: HOB
    9819
  • Eleven Free Books On Machine Learning & Data Science

    It's as good a time as any to keep yourself updated - especially for those who are in the ever-changing technology field. If you're interested in, or working as a professional in Data Science, Machine Learning and allied fields, we've compiled a list of top 11 books that are available free that you must catch up on gloomy rainy days.

    Source: HOB
    26823
  • Areas of Marketing Campaign where AI can help

    If we look back, there is a huge progress in the field of technology and innovations. Many technologies emerge as the future starts and today, some of them are on their way up in the industry. Technologies like Machine Learning, artificial Intelligence, Big Data Analytics, Cloud Computing, ChatBots, Wearable Devices, Drone, etc. The aim of discovering all these modern technologies is to improve the quality of life of the common people and make their daily job much easier than ever before. Many business and industrialist have heavily invested in this technologies and they are reaping rich rewards in the recent times. Out of all these technologies, Artificial Intelligence (AI) has raised its standard tremendously in the last 4-5 years.

    Source: HOB
    10557
  • 4 Things Universities Need to Know to Teach Data Science

    A new report aims to help universities shape data analytics education. Technologies that collect data for analysis exist in pretty much every aspect of life - from smart thermometers in homes to wireless sensor networks.

    Source: EdTech
    11904
  • 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
    10626
  • 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
    8373
  • Data Analytics: Fuelling IoT Revolution

    Is data analytics fuelling the IoT revolution or is IoT fuelling data analytics revolution is a key question that businesses must look for. These two areas Data Analytics and IoT have a symbiotic relationship. One feeds on the other for growth and adoption. IoT connects all manner of endpoints, unraveling a treasure trove of data. The availability of this data is driving opportunity for data analytics by extracting and presenting useful information for decision makers to make informed decisions, which are more predictive in nature rather than reactive.

    Source: HOB
    9279
  • 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
    14736
  • How can Big Data transform HR?

    Today, big data has made it possible to reap immense benefits for businesses, right from sales, to marketing and accounting, and almost everything. Human Resources (HR) is not a business function that comes to our mind when we think about big data, but it is a business function that can acquire huge benefits.

    Source: HOB
    9714
  • How Chatbots Simplify Data Analytics Consumption for Decision Makers

    No matter how large or small a company is, organizations across the globe generate a massive amount of data. While businesses have quickly come to realize that there is tremendous value to be extracted from the large volume of data that is collected, they are still not harnessing the opportunities that can be derived from analyzing data properly.

    Source: HOB
    10176
  • 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
    9261
  • Disrupting Data Science with Artificial Intelligence NEC Establishes a Startup in Silicon Valley for Automating Data Analytics

    NEC Corporation (TSE: 6701) today announced the establishment of dotData, Inc., a new startup company based in Cupertino, California, in the heart of Silicon Valley, that develops and globally provides software that automates data science processes using artificial intelligence (AI).

    Source: HOB
    12894
  • 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
    8931
  • Will Data And Analytics Roles Ever Become More Clear-Cut At Tech Companies?

    It seems like data/analytics has much less clarity around roles than most other common functions at tech companies. Do you think this will ever change? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world.

    Source: HOB
    10371
  • 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
    17742
  • 3 reasons to use Machine Learning for Fraud Detection

    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.

    Source: HOB
    12159
  • The Rise of Data Analytics in Legal Department

    The use of data analytics is becoming more prevalent in the current business landscape. Legal department business models are changing. They're operating more like business units within the corporation and are expected to be high performing and successful.

    Source: HOB
    51051
  • Data Analytics: A key to Business Success

    In recent years, Data Analytics have become a buzzword for every business organization as information is the crucial resource for any organization which can provide a competitive edge to the company.

    Source: HOB
    16053
  • How to Boost your Sales using Data Analytics?

    Analytics has become almost an integral part of any organisation process. It has wide scope in improving decision-making ability, efficiency and growth of the org. In marketing and sales, Some company use data analytics as a tool to enhance efficiency of sales team, increase customer base, generate more revenue and ensure Customer loyalty. However most of the company are still not actively involved with it.

    Source: HOB
    15309
  • 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
    35283
  • 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
    12189
  • 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
    8754
  • Data Analytics: A Remunerative Career

    With the increase in generation of data, companies are bombarded with large amount of data. This forces company to move towards data-driven approach to business.

    Source: HOB
    11463
  • 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
    12345
  • 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
    19044
  • 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
    17775
  • 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
    14259
  • 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
    5439
  • 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
    14742
  • 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
    14001
  • 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
    8268
  • 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
    7977
  • 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
    10494
  • 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
    13440
  • More than 90,000 jobs available in Data Science and analytics in India: Report

    It also brings out the fact that India currently contributes about 10% of the open job openings for data scientists globally, making it the largest data science hub in the world outside the U.S.

    Source: HOB
    11220
  • 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
    12297
  • 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
    18591
  • 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
    12057
  • 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
    20820
  • 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
    28047
  • Data Analytics: A competitive Edge for the Business

    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
    8916
  • 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
    18075
  • Is Data Analysis Different from Data Analytics

    Data Analysis and data analytics are often treated as interchangeable terms, but they hold slightly different meanings. Data analysis is the overarching Data Analyst practice that encompasses the use of data analytics tools and techniques to achieve business objectives

    Source: HOB
    8769
  • Aviation Industry bets on Big Data Analytics

    Big Data

    Source: HOB
    10122
  • 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
    18699
  • Google Next 2018: A deeper dive on AI and machine learning advances

    Google Cloud announcements bring deep learning and big data analytics beyond data scientists, but enterprises will want more.

    Source: HOB
    12723
  • 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
    18912
  • 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
    12030
  • Role of RPA in Accounts

    Data Science, Machine Learning, Artificial Intelligence and data analytics are quite buzzword. No doubt these technologies will transform all the industries but most likely the technology that will change our profession in the short run will be Robotic Process Automation (RPA).

    Source: HOB
    7095
  • 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
    26184
  • How to tackle Fake News Problem through Machine Learning

    I recently had the chance to use machine learning to address an issue that is at the forefront of the American media, the difficulty of recognizing fake news.

    Source: HOB
    10884
  • Career Transition Towards Data Analytics & Data Science. Here's my Story

    At the moment of writing this post about Data Analytics and Data Science, I am bootstrapping a data literacy consultancy, catering to large enterprises around the globe.

    Source: HOB
    10422
  • What Data Scientists Really Do? According to 35 Data Scientists Report

    Modern data science emerged in tech, from optimizing Google search rankings and LinkedIn recommendations to influencing the headlines Buzzfeed editors run. But it's poised to transform all sectors, from retail, telecommunications, and agriculture to health, trucking, and the penal system.

    Source: HOB
    12813
  • 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
    20937
  • How To Become a Data Scientist, According To Grab's Data Science Head

    What do data science, data analytics, and business intelligence mean at Grab and how are they being used? - Wong Mun

    Source: HOB
    63243
  • Jobs in Google, Accenture, Walmart, Amazon & More: Latest openings for Data Science, engineers, Analyst and more

    The Tech Companies are hiring for various positions in India and abroad for Data Science, Artificial Intelligence, Machine Learning. Know the eligibility criteria, job location, and profile. Find out what all is needed to work with the biggest tech-giant in the world

    Source: HOB
    24108
  • Want A Job In Data Science? There May Be A Test To Become Data Scientist

    Data analytics is becoming more vital for businesses, and data scientists are in high demand. But the emerging field is broad, and some companies say they have struggled to find job candidates whose skills fit their needs.

    Source: HOB
    61137
  • Why Data Sciences Today Cannot Be Ignored by Smart Entrepreneurs?

    With data sciences being the focal point, Entrepreneur India analyses why this new trend is now the essential tool for a majority of smart entrepreneurial solutions.

    Source: HOB
    10176
  • 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
    14502
  • Why Data Science Is The Most Hottest Career in 2018

    In today's world, whatever your job, having skills and knowledge in Data Science will play a huge role in your career development. For example, big data and analytics gathered from customers allow marketers to build more effective digital marketing campaigns.

    Source: HOB
    14568
  • Data analysis could be key to Success In Your Career

    Understanding data is key to unlocking job opportunities - Harvard Gazette. New course hopes to give students an edge in the job market.

    Source: HOB
    9591
  • Differentiating Between Data Analytics, And AI Machine Learning, Everyone should Know!

    The artificial intelligence (AI) industry has been leading the headlines consistently, and for good reason. It has already transformed industries across the globe, and companies are racing to understand how to integrate this emerging technology.

    Source: HOB
    8523
  • How I Had Started My Career Into Data Analytics During My Nanodegree

    I started off by doing online courses for Data Analytics that were either free to access or available at a small cost, all of which were very focused on certain topics of the Data Analytics field.

    Source: HOB
    12555
  • 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
    20916
  • Data Analytics is Not Tough to Learn, Starting is Tough!

    People often ask me How can I learn Data Analytics? and I often stumble upon this question How to become a Data Analyst on Quora too. The answer is pretty much clearly available all over the internet. The actual issue is not how to become a data analyst but it is if we are ready to become one?

    Source: HOB
    22983
  • Understand The Machine Learning From Scratch For Beginners

    Machine Learning is the term which we have been Hearing Now everywhere. When I Started My ML Journey Back in April 2016 I was like complete Noob having No Idea what ML is I used to Think does ML means that Machine are learning ?

    Source: HOB
    37542
  • 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
    12225
  • 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
    10218
  • 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
    21414
  • 80% of Global Businesses Looking To Hire A Data Scientist in 2019 According to MHR Analytics

    Survey of company leaders shows the vast majority are planning to hire data scientists as economic uncertainty continues.

    Source: HOB
    58692
  • How is NASA using Artificial Intelligence to explore the space?

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

    Source: HOB
    9384
  • How to Use Data Analytics to Understand Customers, Business, & Make More Money

    Despite my math background, I've always considered myself first and foremost a consumer researcher who uses data analytics to gain insights into human behavior, and that's what I focus on at Farmers Insurance. Today, if you're a small business owner, you need to get that data just as much as any large corporation. And even if you've always been math-averse, you can learn how to apply analytics to your own business.

    Source: HOB
    11511
  • Really Analytics Is A Perfect Combination of Analysis And Logics?

    In 2018 it's good time enroll for Data Analytics and it can't be ignored as analytics is the combination of analysis and logics. Data informs a large amount of decisions with strong groundwork rather than just taking shots in the dark.

    Source: HOB
    8757
  • 10 reasons why Data Analytics can be a real hair puller for companies?

    Data analytics is the primary enabler to derive insights and reach out to meaningful truth, resulting in business growth and increased revenue.

    Source: HOB
    8451
  • Introducing Data Science In Healthcare Industries

    There is no more field left by Data Science as with the help of Data Analytics the medical science will move to the new level from computerizing medical records to drug discovery and genetic disease exploration. Data Science and medicine are continuously developing and it is important that they both will advance together.

    Source: HOB
    6420
  • Introducing Data Science In Healthcare Industries

    There is no more field left by Data Science as with the help of Data Analytics the medical science will move to the new level from computerizing medical records to drug discovery and genetic disease exploration. Data Science and medicine are continuously developing and it is important that they both will advance together.

    Source: HOB
    15717
  • How to Become a Data Science Leader in Industry? Do The Maths

    Deirdre Dempsey has decades of experience dealing with data analytics, data science stemming from a strong foundation in mathematics.

    Source: HOB
    9117
  • 7 Biggest Benefits of Using Search Engine Tools for Data Analysis

    Mention the word "search" to most laypeople and it conjures images of Google and Bing. Mention it to most data scientists and it usually conjures notions of keywords and text retrieval, and maybe a passing reference to open source projects like Elasticsearch, Apache Solr, of they are particularly well-versed-Apache Lucene.

    Source: HOB
    9408
  • 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
    9999
  • 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
    12477
  • List Of Artificial Intelligence & Machine Learning Companies Acquired By Top Giants In 2018

    According to IDC, global spending on Artificial Intelligence (AI) and cognitive systems will reach $19 billion by 2018. This is an increase by approximately 54% over the total amount consumed in 2017. Mergers and acquisitions are constantly taking place. 2017 alone witnessed some huge acquisitions like Yahoo was acquired by Verizon, Apple bought Shazam etc. Top consulting company Deloitte predicted that technology acquisitions will accelerate mergers and acquisitions in 2018.

    Source: HOB
    21648
  • Why So Many Data Scientists are leaving their jobs, 4 Most Important Reasons

    Here are 4 main reasons data scientists may become dissatisfied with their jobs. Data professionals choose the career path of data science for the complex problem solving, the cool new machine learning algorithms and the expected impact their work will have on real business problems. However, this is often not the case.

    Source: HOB
    149016
  • 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
    10851
  • No Language Skills, No Problem: This 6-Day Course Teaches You Data Science & Analytics

    You're probably aware of this by now: data science and data analytics are the skills to have in this day and age.

    Source: HOB
    12297
  • 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
    8661
  • 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
    35307
  • 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
    9147
  • 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
    6690
  • Importance Of Artificial Intelligence From Career Point Of View

    Artificial Intelligence, or simply termed as AI, as the name suggests, is the intelligence exhibited by the machines. By acquiring intelligence, although artificial, the machines will become capable of working and reacting like humans. Today, the artificial intelligence that exists is termed as narrow or weak AI.

    Source: HOB
    30210
  • Race and Ethnicity in Data Science - The Data Science Diversity Gap

    How diverse will a lucrative, growing field like data science be in the future?

    Source: HOB
    27429
  • How Machine Learning Works In Analytics To Limit Healthcare Fraud

    To most Americans, the phrase "Medicare Fraud" brings up images of individuals who cheat the system to collect healthcare when they don't need it.

    Source: HOB
    23100
  • 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
    27240
  • 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
    8304
  • 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
    6426
  • 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
    7566
  • Career innovation tool: Machine Learning

    So how can machine learning help you in building a successful career? Is it possible to have a stable career in machine learning? Few questions trick your mind while choosing your career. But machine learning helps you to overcome as it is an effective tool which has an automatic artificial presence rather than the human mind. Machine learning helps computers to work on their own without any human interaction in this tool. Machine learning also includes multiple learning such as supervised and unsupervised learning and also vast applications. Continuous learning helps you to take multiple and effective decisions at the right time. Machine learning has smart algorithms which are used for the marketing campaigns in many smartphone apps as well as in social media applications.

    Source: HOB
    6627
  • 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
    24552
  • Analyzing Data With Good Actionable Business Intelligence

    Another challenge develops when businesses gather data and organize it without considering the questions they will be used when processing the data. Each step in the data collection process should lead toward gathering useful data and analyzing it with the goal of developing actionable Business Intelligence.

    Source: HOB
    12837
  • How media and entertainment will be changed through advanced analytics?

    Competitive markets have increased and faced by the media and entertainment companies. There are several ways which can easily bring upon the content of the consumer, operate the need where the operation is done in a better way and more efficiently than ever. Delivering that content means generating more and more revenue they need. Sectors like media and entertainment always deal in data, as it is already known. So is there something new in it?

    Source: HOB
    6666
  • 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
    14097
  • 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
    7968
  • You are thinking of mastering in machine learning with data preparation? Go through it

    These days organizations look for the ways where they can prepare the data very quickly and appropriately for solving the challenges of data and enabling machine learning. The data should be cleaned and accurate it should be checked before the data is brought to the model of machine learning or any other project of analytics.

    Source: HOB
    49095
  • 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
    14178
  • 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
    11883
  • Educations forthcoming: The artificial intelligence Nanodegree program

    Across many industries, there are many large enterprises and businesses having the high performance which are tidily turning towards artificial intelligence and new analytics to make the decisions faster, productively and data-driven.

    Source: HOB
    7371
  • 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
    10089
  • Which Programming Language Should We Use On A Regular Basis?

    Data Analytics tools, latest technologies, and programming languages are required by data science which helps the data scientists to gain meaningful insights and value from the data. A recent survey of nearly 24,000 data professionals by Kaggle revealed that Python, SQL, and R are the most popular programming languages. The most popular programming language was Python 83% used. 3 out of 4 data professionals recommended Data Scientist should learn Python programming language.

    Source: HOB
    120300
  • 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
    15585
  • What Are The Questions for Data Scientists And For What Courses They Have To Enroll?

    Data scientists are increasingly important to organizations as decisions become more data-driven. You need to be able to tell the real and talented data scientists from a charlatan who talks the talk. Here are five questions every data scientist should be able to answer.

    Source: HOB
    7434
  • 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
    6234
  • 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
    7599
  • High Performance Data Analytics Market 2018 Growth Analysis, Market Outlet, Technology and Competitive Research- 2023

    The High Performance Data Analytics Market report highlights the current market size and future potential of the market at the global and regional level with the help of industry trends and market performance.

    Source: ReportsandReports
    6090
  • A Tool To Build Future For Non Experienced Candidates: Machine Learning

    So here you can see that machine learning is quite an approaching word in the world. It is the Artificial intelligence tool Machine Learning is the buzzword created and is the next future of the world.

    Source: HOB
    116523
  • 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
    22311
  • Best online Data Science Courses To Learn & Get Job

    According to the report of U.S Bureau of Labor Statistics, the rise of Data Science needs will create 11.5M job openings by 2026.

    Source: HOB
    48336
  • Awesome online Data Science Courses To Learn Data Science & Get Job

    The need for Data Scientists and Data Analytics in India too is increasing enormously with a number of openings left vacant in the past due to lack of the skilled candidates, according to a report.

    Source: HOB
    171207
  • 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
    18201
  • Career In Data Analytics Is Rewarding, So Get Start With It As Earliest

    A career in data analytics is not only concerned with learning Python or Hadoop, but it also takes into consideration various skills

    Source: HOB
    21645
  • What Are The Tech & Non-Tech Skills Required To Become A Data Scientist Expert In 2019?

    A data scientist is the #1 profession in America for 2019, according to Glassdoor. And that is not surprising, given the median base salary paid in the field is $123,000. Still, the data science job market is far from saturated, with an estimated shortage of 190,000 specialists in the US only.

    Source: HOB
    18093
  • Find Here: The Common Thread That Holds Top Technologies

    Now recently Gartner launched its top technology trends for 2K19. The common thread that holds every technology and trends are Artificial Intelligence, Augmented Analytics, Blockchain and many more and all these have the ability to turn data into a business asset. That future growth lies in the ability to turn data into something useful isn't a surprising revelation. But not every organization is equipped to make the most of its valuable information.

    Source: HOB
    8112
  • An Interesting & Faster Method To Drastically Improve Data Science And Machine Learning Efficiency

    For every business, data science is the foundation of enabling a successful transformation into an AI-powered enterprise. Data analytics and machine learning drive smarter business decisions, greater operational efficiency, and higher levels of customer satisfaction.

    Source: HOB
    9189
  • Data Science Is The Role That Is Giving Many More Opportunities In Professional World

    Data science is giving too many opportunities today in the professional world. As the number of business concerns using data analytics is on the rise, so is the number of jobs in this field.

    Source: HOB
    10635
  • Top 10 Data & Analytics Technology Trends For 2019 According To Gartner Report

    Augmented Analytics and Artificial Intelligence in the spotlight at Gartner Data & Analytics Summit.

    Source: HOB
    21831
  • Why Data Science And Data Analytics Are The Major Need For All The Industries?

    Data science has revolutionized the technological world. We all are aware of the term data science that there is definitely something in data science that sets it apart and make being a data scientist one of the best jobs of the twenty-first century.

    Source: HOB
    15600
  • 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
    11475
  • Must Look at the Race Between Artificial Intelligence, Data, and Business Intelligence

    Everyone knows that the world has changed a lot in recent years. Now, with less than 10 months until 2020, the Cloud is the reality, AI is everywhere, and Voice will undoubtedly be the next interface for analytics.

    Source: HOB
    7116
  • 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
    6720
  • Top 5 Reason To Switch From Tableau Data Analysis To Google DataStudio

    When I started working at my latest company all the reporting was done with a combination of Google Sheets and Tableau, with Tableau being the principle reporting mechanism.

    Source: HOB
    10803
  • 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
    7830
  • Great Career in Data Science and Data analytics

    Data science and Data analytics are used to identify patterns and draw inferences from raw data.

    Source: HOB
    10344
  • Are You Looking For Software Developer Job In India? These Fields have Near 100,000 Opening

    Software Developer & Data analysts have been hot properties in Indiaâ??s job market for years. Currently, there are about 97,000 analytics jobs waiting to be filled in India, according to a recent study by ed-tech company Great Learning. This is a jump of almost 45%, compared with a year ago.

    Source: HOB
    9132
  • 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
    6474
  • Challenges Faced in Data Science Careers

    It is noteworthy to know the major challenges that a Data scientist face.

    Source: HOB
    7404
  • Why your organization needs Business Intelligence technology?

    A Business Intelligence technology is used by the organizations to analyze business information which includes past and present data and drawing insights from that data.

    Source: HOB
    29940
  • 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
    7041
  • A Tool To Build Future For Non Experienced Candidates: Machine Learning

    So here you can see that machine learning is quite an approaching word in the world.

    Source: HOB
    6210
  • Best online Data Science Courses

    Relevant skills, qualifications, and courses will prove good to you in developing a career in Data Science.

    Source: HOB
    9315
  • The Best Way to Become a Data Scientist and Master In Machine Learning End of 2019

    Learning paths are immensely popular among our data science & machine learning readers and with good reason! Learning paths take away the pain and confusion from the learning process.

    Source: HOB
    24480
  • 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
    9849
  • How Data Science Become Beginner To Expert Data Scientist - A Step By Step Guide To Follow

    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.

    Source: HOB
    23769
  • 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.

    Source: HOB
    29220
  • 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.

    Source: HOB
    10986
  • Which are some of the most Frequently Asked questions in Data Science?

    This article will dive through some of the most Frequently Asked questions in Data Science Interviews with the help of a popular video of YouTube so that your preparation for the next Data Science interview becomes easier.

    Source: HOB
    9513
  • Why Augmented Analytics is the Future of Data and Analytics?

    The report by Gartner states Augmented Analytics as an approach that automates insights using machine learning and natural language generation.

    Source: HOB
    16992
  • Some Simple Strategies To Secure your IoT Device

    So Internet Of Things continues to grow more and more and it is expected that more than 14 billion devices which are connected will be in use by the year-end and by 2021 it will reach to 25 billion.

    Source: HOB
    6609
  • Beginners Should Read These Machine Learning Books

    Some common books every beginner should buy and increase their learning abilities.

    Source: HOB
    6501
  • Data Scientist should be aware of the difference between the subheads of Data Science and Machine Learning

    See the major difference between the sub-categories of data science, machine learning, and big data.

    Source: HOB
    6831
  • Data science books to buy for a minimum price on Amazon for every beginner, professional and For Business

    Data Science books which will benefit beginners, professionals and business people also. You can easily avail these books on Amazon at a Discounted price.

    Source: HOB
    7923
  • How machine learning will boost multiple industries in the Future?

    Through Machine Learning, computers are capable of learning without being explicitly programmed. ML is one of the most exciting technologies that one would have ever come across.

    Source: HOB
    7107
  • 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.

    Source: HOB
    7344
  • 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.

    Source: HOB
    10497
  • Sisense becomes a partner with Periscope Data and turns out as data-driven Companies

    Sisense has acquired Periscope Data for creating a complete data science and analytics platform for customers.

    Source: HOB
    9546
  • Start a Career in Machine Learning with these Books

    Here are some machine learning books which will give teach you an in-depth analysis of machine learning algorithms.

    Source: HOB
    13599
  • Demand for Data Scientist has increased in 2019. Why?

    If you think that data science is not a job which needs proper skills, here are some reasons where you will see the fact.

    Source: HOB
    7209
  • Legitimate Transactions will be bygone through Data Analysis used by RBI

    The Reserve bank of India will promote the use of data analysis to identify cases of fraud and help instant response and recovery actions, such as blocking irregular transactions before payment authorization.

    Source: HOB
    8310
  • 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.

    Source: HOB
    7533
  • How can you easily identify the Big Data tactics through some useful Resources?

    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.

    Source: HOB
    6444
  • 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.

    Source: HOB
    13653
  • 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.

    Source: HOB
    6018
  • 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.

    Source: HOB
    8409
  • Intel brings up a platform which is optimized to run AI and ML models

    When we see that deep learning models are being trained, NVIDIA might bet full attention. However, Intel is not sitting quietly, just staring at the massive AI opportunity.

    Source: HOB
    6951
  • 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.

    Source: HOB
    6429
  • Analysts Must Approach these Books to Handle the Big Data in Businesses

    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.

    Source: HOB
    7515
  • Big Data Analytics company Looker is being acquired by Google

    For acquiring the data analytics platform looker in a $2.6 billion, Google has announced plans for all cash transactions.

    Source: HOB
    8823
  • Perks Of Becoming A Big Data Engineer Highlighted In A YouTube Video

    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.

    Source: HOB
    12528
  • Top Website HOUSE OF BOTS for Tech related articles and Recent Tech Jobs

    House of bots offers tech-related information, like Artificial technologies, Machine learning, Robotics, Chatbots, Data analytics, Neural Network, and Cloud computing. HOB is the solution for different users like tech-savvy, job providers and job seekers, etc. HOB is a B2B platform.

    Source: HOB
    7296
  • Some Data Analytics programs which are affordable for every company

    To ensure effective implementation, one of the first things to prioritize is choosing the right data analytics software. A good place to start is getting to know the leading products in the niche by checking out the best data analytics software.

    Source: HOB
    9108
  • Learn Java and Python more! Lack of Skilled Programmers

    It is the toughest job to find Developers with skills in Java and Python programming languages as the UK's skills shortage spreads beyond the capital.

    Source: HOB
    7956
  • Some Major Advantages of Machine Learning in 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.

    Source: HOB
    7137
  • 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.

    Source: HOB
    6600
  • Learning the Top 5 Machine Learning Tools from some famous books

    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.

    Source: HOB
    5991
  • Must have skills of storytelling if you want to become a successful Data Scientist

    Since the importance of data analytics is burgeoning day by day, hence the companies are appointing the sagacious professionals who will provide the company with the wider insights of the structured data.

    Source: HOB
    6477
  • 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.

    Source: HOB
    6918
  • Is Data Science a job paying you with the Highest Salary in 2019-2020?

    Jobs requiring machine learning skills are paying an average of $114,000. Advertised data scientist jobs pay an average of $105,000 and advertised data engineering jobs pay an average of $117,000.

    Source: HOB
    6144
  • 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.

    Source: HOB
    6126
  • 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.

    Source: HOB
    8307
  • 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.

    Source: HOB
    9534
  • How can Machine Learning bring changes in your career for the future?

    Machine Learning is the buzzword created and is the next future of the world. It is defined as an artificial intelligence tool that works as an artificial mind to learn automatically without the presence of the human mind.

    Source: HOB
    5064
  • Why Big Data is important for every business?

    Big Data operates irrespective of any field or size of the business, as management and collection are done in every field; thus, making it more accessible.

    Source: HOB
    5109
  • How IoT can enhance the Retail and Fashion sector in the near future?

    The Internet of things (IoT) has driven every object in the globe into the digital realm.

    Source: HOB
    5004
  • Hadoop as the best technology for Data handling

    Big Data Hadoop is one of the most progressing technological fields in the present day. Just like the changes in the trends of the world, many changes have also been made in the different fields of technologies.

    Source: HOB
    5943
  • A key to your brighter future: Data Science

    Data is a word that is pretty known to us. If we put it into correct words, it is a collection of information that can be translated into a form that can be processed by computers.

    Source: HOB
    4845
  • Factors to Be Considered Before Joining Big Data Analytics Courses

    Today the saying 'knowledge is power' fits perfectly for the internet. Tons of data is transferred over wireless connections in the world, but its management can be hectic for an unprofessional.

    Source: HOB
    5025
  • Do you know which Programming Language will continue to in demand for 2020?

    Here are a few programming languages we recommend for coders who want to make it big in 2020.

    Source: HOB
    7539
  • Data Science books for highly professional Data Scientists

    Data science strategy for Dummies begins by explaining what exactly data science is and why it's important.

    Source: HOB
    5838
  • The Broad Concept of Big Data Analytics

    The sets of raw facts and figures which are so complex and bulky that they cannot be dealt with using ordinary data processing software are called big data.

    Source: HOB
    5505
  • Data Analytics cannot be ignored now

    Data Analytics refers to the process of collecting, organizing, interpreting and extracting useful insights from the raw facts and figures in the huge amounts of data generated by a business on a daily basis.

    Source: HOB
    6009
  • Business Analytics Training: The Best Career to GO for

    Data analytics is no longer an unknown term. Data analytics is simply collecting, organizing, analyzing and gaining useful insights from raw data.

    Source: HOB
    5676
  • Go Big with these Big Data Courses

    Learn how big data is driving organizational change and essential analytical tools and techniques, including data mining and PageRank algorithms.

    Source: HOB
    5592
  • Combining Cloud Computing and Big Data gives you a roadmap of success in future

    The Big data revolution and cloud computing are in a convergence state and companies are changing the way they think in terms of doing business to incorporate data that will drive their decision-making process.

    Source: HOB
    5100
  • Famous books for learning Apache Spark

    Quickly dive into Spark capabilities such as distributed datasets, in-memory caching, and the interactive shell

    Source: HOB
    6804
  • What are the loss and benefits of Data Science?

    Data Science is a combination of the following skills: Mathematics expertise, business/strategy acumen, and technology and hacking skills.

    Source: HOB
    6783
  • Learn the Major Data Analytics tools

    Below is the list of top 10 of data analytics tools, both open-source and paid version, based on their popularity, learning and performance.

    Source: HOB
    5772
  • Organizational Benefits of Big Data

    Big data analytics deals with data primarily and the predictions or forecasts from analyzing databases that help with informed decision making in all processes related to business.

    Source: HOB
    7545
  • Can you reach heights in the future through data science?

    Data Science refers to studying hidden insights behind the data and manipulating them in order to find logical solutions to problems in business and industrial contexts.

    Source: HOB
    4659
  • Why Tableau Is Better than MS Excel for Creating Dashboards? Here are some reasons.

    As the analytics industry has grown over the years, it has given opportunities to companies to create tools that specifically cater to specific aspects of the data analytics procedures like data transformation, data formatting, visualization, etc.

    Source: HOB
    5832
  • 3 Basic Difference Between Software Development and Data Analytics

    The confusion often arises from the fact that there is an overlap with regard to programming skills. Listed below are some of the key differences between Software development and Data Analytics:

    Source: HOB
    5304
  • Changing your business through AI in the near future

    If you're wondering how artificial intelligence might affect your business in the short term, and even over the long haul, this article will help you keep your finger on the pulse.

    Source: HOB
    4884
  • Get to know more about Hadoop Big Data Infrastructures

    Big Data Infrastructure Management in Cloud Data Centers has been one of the fruitful solutions suggested for countering rising infrastructural costs.

    Source: HOB
    9588
  • Top 3 Reasons Why Tableau Is Better than MS Excel for Creating Dashboards

    As the analytics industry has grown over the years, it has given opportunities to companies to create tools that specifically cater to specific aspects of the data analytics procedures like data transformation, data formatting, visualization, etc.

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