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  • Top 15 Python Libraries for Data Science in 2017

    Since all of the libraries are open sourced, we have added commits, contributors count and other metrics from Github, which could be served as a proxy metrics for library popularity.

    Source: Kdnuggets
    14226
  • 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
  • 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
    10377
  • Machine Learning is Everywhere: Preparing for the Future

    The influence and impact of machine learning can be seen in everything from our morning coffee orders to the online banking apps we use.

    Source: Datanami
    9423
  • 12 Useful Data Science Walkthroughs

    So you have developed some base skills in programming, data visualization, data manipulation etc... And are looking for ways to apply those skills and build a data science portfolio?

    Source: Datacamp
    10296
  • An Introduction to Machine Learning Theory and Its Applications: A Visual Tutorial with Examples

    Machine Learning (ML) is coming into its own, with a growing recognition that ML can play a key role in a wide range of critical applications, such as data mining, natural language processing, image recognition, and expert systems.

    Source: Toptal
    18765
  • 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
  • 60+ Free Books on Big Data, Data Science, Data Mining, Machine Learning, Python, R, and more

    Here is a great collection of eBooks written on the topics of Data Science, Business Analytics, Data Mining, Big Data, Machine Learning, Algorithms, Data Science Tools, and Programming Languages for Data Science

    Source: Kdnugget
    56010
  • Difference between Machine Learning, Data Science, AI, Deep Learning, and Statistics

    In this article, I clarify the various roles of the data scientist, and how data science compares and overlaps with related fields such as machine learning, deep learning, AI, statistics, IoT, operations research, and applied mathematics.

    Source: DSC
    51495
  • What is Data Science? 24 Fundamental Articles Answering This Question

    Many people new to data science might believe that this field is just about R, Python, Hadoop, SQL, and traditional machine learning techniques or statistical modeling. Below you will find fundamental articles that show how modern, broad and deep the field is.

    Source: DSC
    13869
  • 6 Predictions about Data Science, Machine Learning, and AI for 2018

    Here are our 6 predictions for data science, machine learning, and AI for 2018. Some are fast track and potentially disruptive, some take the hype off over blown claims.

    Source: DSC
    45291
  • Open Source Deep Learning Frameworks and Visual Analytics

    Deep Learning gets more and more traction. It basically focuses on one section of Machine Learning: Artificial Neural Networks. This article explains why Deep Learning is a game changer in analytics, when to use it, and how Visual Analytics allows business analysts to leverage the analytic models built by a (citizen) data scientist.

    Source: DSC
    22467
  • Amazon Top 20 Books in Data Mining

    These are the most popular data mining books on Amazon. As you look to increase your knowledge, is there something listed here that is missing from your collection?

    Source: Kdnugget
    13890
  • 50+ Free Data Science Books

    Very interesting compilation published here, with a strong machine learning flavor (maybe machine learning book authors - usually academics - are more prone to making their books available for free). Many are O'Reilly books freely available. Here we display those most relevant to data science.

    Source: DSC
    33213
  • 9 Free Books for Learning Data Mining and Data Analysis

    Whether you are learning data science for the first time or refreshing your memory or catching up on latest trends, these free books will help you excel through self-study.

    Source: Kdnugget
    31863
  • 91 job interview questions for data scientists

    We are now at 91 questions. We've also added 50 new ones here, and started to provide answers to these questions here. These are mostly open-ended questions, to assess the technical horizontal knowledge of a senior candidate for a rather high level position, e.g. director.

    Source: DSC
    25605
  • 14 free data mining books

    Whether you are learning data mining for the first time or refreshing your memory or catching up on latest trends, these free books will help you excel through self-study.

    Source: DSC
    19029
  • Free Deep Learning Book (MIT Press)

    The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular. The online version of the book is now complete and will remain available online for free.

    Source: DSC
    46098
  • 80+ Free Data Science Books

    An archive of all O'Reilly data ebooks is available below for free download. Dive deep into the latest in data science and big data, compiled by O'Reilly editors, authors, and Strata speakers:

    Source: DSC
    22542
  • Top 10 Data Mining Algorithms, Explained

    Top 10 data mining algorithms, selected by top researchers, are explained here, including what do they do, the intuition behind the algorithm, available implementations of the algorithms, why use them, and interesting applications.

    Source: Hackerbits
    19029
  • List of Free Must-Read Machine Learning Books

    Machine learning is an application of artificial intelligence that gives a system an ability to automatically learn and improve from experiences without being explicitly programmed. In this article, we have listed some of the best free machine learning books that you should consider going through (no order in particular).

    Source: DSC
    24264
  • What Exactly is Artificial Intelligence and Why is it Driving me Crazy

    Summary: Advanced analytic platform developers, cloud providers, and the popular press are promoting the idea that everything we do in data science is AI. That may be good for messaging but it's misleading to the folks who are asking us for AI solutions and makes our life all the more difficult.

    Source: DSC
    15615
  • Using Real Time Marketing and Machine Learning based Analytics to Drive Customer Value Management

    The value of data-driven Customer Value Management or CVM cannot be underrated. Data and other algorithms/analytics that shape data are an imperative part of customer value management in a telecom company.

    Source: DSC
    12135
  • Machine Learning : Real World Applications

    As everyone knows Machine learning studies computer algorithms for learning to do stuff. We might, for instance, be interested in learning to complete a task, or to make accurate predictions, or to behave intelligently.

    Source: DSC
    19347
  • 6 Predictions about Data Science, Machine Learning, and AI for 2018

    Here are our 6 predictions for data science, machine learning, and AI for 2018. Some are fast track and potentially disruptive, some take the hype off over blown claims and set realistic expectations for the coming year.

    Source: DSC
    18363
  • Data Science is Changing and Data Scientists will Need to Change Too - Here's Why and How

    Deep changes are underway in how data science is practiced and successfully deployed to solve business problems and create strategic advantage. These same changes point to major changes in how data scientists will do their work. Here's why and how.

    Source: DS
    17178
  • 5 Free Data Science eBooks For Your Summer Reading List

    Going somewhere nice for your summer holidays? Somewhere with a nice beach perhaps - Goa, Grand Cayman or Grimsby? Or a bustling city break? Wherever you're going there's sure to be long periods where you'll sit for hours on end with little to do but read, so I thought I'd throw together a few free eBooks for your Kindle to while away the long hours in the airport, in a traffic jam or on the beach.

    Source: DSC
    30123
  • Key skills required for Machine Learning jobs

    Tech improvement all across the industries have helped to develop Artificial Intelligence for advancement of businesses today. And, Machine Learning(ML) is a branch of AI. So, if we basically talk about Machine Learning (ML),it actually provides computers with the ability to do certain tasks, such as recognition, diagnosis, planning, robot control, prediction, etc., without being explicitly programmed. It focuses on the development of algorithms that can teach themselves to grow and change when exposed to new data. The process of ML is somehow similar to that of Data Mining. Both search through data to look for patterns. But, ML uses the data to improve the program's own understanding. ML programs are used to detect patterns in data and adjust program actions accordingly.

    Source: HOB
    14961
  • For Companies, Data Analytics is a Pain; But Why?

    Businesses across the globe are facing the brunt, one of huge data influx and second of increasing data complexity and of course the market volatility.

    Source: DSC
    12720
  • Free eBook: Applied Data Science (Columbia University)

    Published in 2013, but still very interesting, and different from most data science books. Authors: Ian Langmore and Daniel Krasner.. This book focuses more on the statistics end of things, while also getting readers going on (basic) programming & command line skills. It doesn't, however, really go into much of the stuff you would expect to see from the machine learning end of things.

    Source: HOB
    14628
  • A Short History of Machine Learning

    It's all well and good to ask if androids dream of electric sheep, but science fact has evolved to a point where it's beginning to coincide with science fiction. No, we don't have autonomous androids struggling with existential crises - yet - but we are getting ever closer to what people tend to call "artificial intelligence."

    Source: DSC
    14298
  • Tutorial - foundations of machine learning and data science for developers

    Here is a tutorial I have created (foundations of machine learning and data science for developers) It is based on my insights from the Enterprise AI course and also the Data Science for IoT course which I teach at Oxford University

    Source: DSC
    33114
  • Five Misconceptions about Data Science - Knowing What You Don't Know

    Data science has made its way into practically all facets of society - from retail and marketing, to travel and hospitality, to finance and insurance, to sports and entertainment, to defense, homeland security, cyber, and beyond.

    Source: DSC
    29595
  • Free Deep Learning Textbook

    The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular. The online version of the book is now complete and will remain available online for free. For more information about this 700+ pages free book and its authors, click here.

    Source: HOB
    27321
  • Everything You Should Know About 21st Century's Most Sexiest Job Profile - Data Scientist

    Taking decisions based on Data is not only an inherent sense but a strong commercial sense too.

    Source: HOB
    11823
  • 10 Popular Machine Learning Frameworks

    A Machine Learning Framework is an interface, library or tool which allows developers to more easily and quickly build machine learning models, without getting into the nitty-gritty of the underlying algorithms. It provides a clear, concise way for defining machine learning models using a collection of pre-built, optimized components.

    Source: HOB
    13698
  • 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
    8949
  • Artificial Intelligence vs. Machine Learning vs. Deep Learning

    Clear up the confusion of how all-encompassing terms like artificial intelligence, machine learning, and deep learning differ.

    Source: HOB
    15918
  • Artificial Intelligence: Popular Terminologies and Concepts

    For beginners and students to have better understanding about the emerging technologies and charity about the artificial intelligence, one need to understand the basic terms, concepts related to it.

    Source: HOB
    12018
  • An Executive Primer to Deep Learning

    Circa 1997, the reigning world chess champion Garry Kasparov was against an unknown opponent. The opponent was formidable. Garry was not playing a human. He was playing the game with IBM's behemoth supercomputer, Deep Blue.

    Source: HOB
    14565
  • 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
  • Some Great Books for Getting Started in Data Science

    I was listening to an old episode of Partially Derivative, a podcast on data science and the news. One of the hosts mentioned that we're now living in the "golden age of data science instruction" and learning materials. I couldn't agree more with this statement. Each month, most publishers seem to have another book on the subject and people are writing exciting blog posts about what they're learning and doing.

    Source: HOB
    11142
  • AI is helping mining sector mine so cash

    Mining companies have a lot of data transmitted from mobiles, sensors and other equipments that needs to be monitored as fast as possible.

    Source: HOB
    4596
  • How AI is helping mining sector mine some cash

    Mining companies have a lot of data transmitted from mobiles, sensors and other equipments that needs to be monitored as fast as possible.

    Source: HOB
    11937
  • Free eBooks for Data Visualization and Machine Learning

    What You Need to Know about Machine Learning. This eBook offers you the perfect place to lay the foundation for your work in the world of Machine Learning, providing the basic understanding, knowledge, and skills that you can build on with experience and time.

    Source: HOB
    14949
  • 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
  • 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
    9921
  • How Mining Companies Are Using Artificial Intelligence, Machine Learning And Robots: 4th Industrial Revolution

    In an industry such as mining where improving efficiency and productivity is crucial to profitability by using artificial intelligence, machine learning, and robots, even small improvements in yields, speed and efficiency can make an extraordinary impact. Mining companies basically produce interchangeable commodities.

    Source: HOB
    12024
  • 60+ Free Books on Data Science, Big Data, Data Mining, Machine Learning that Everyone Should Read!

    Here is a great collection of eBooks written on the topics of Data Science, Business Analytics, Data Mining, Big Data, Machine Learning, Algorithms, Data Science Tools, and Programming Languages for Data Science.

    Source: HOB
    117024
  • 9 Free Online Books for Learning Data Mining and Data Analysis

    Whether you are learning data science for the first time or refreshing your memory or catching up on the latest trends in Data Mining, Data Analysis, these free books will help you excel through self-study.

    Source: HOB
    34581
  • More Free Books & Resources on Data Science, Data Mining That You Should Read!

    More free resources and online books by leading authors about data mining, data science, machine learning, predictive analytics, and statistics.

    Source: HOB
    15000
  • 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
    23316
  • A Combination of Skill Set Makes A Perfect Machine Learning Engineer

    Machine Learning is the subset of Artificial Intelligence which allow systems to perform the specific tasks. Machine Learning and Data Mining work closely as both search through data to look for patterns basically it detects patterns in data and adjust program actions accordingly.

    Source: HOB
    7989
  • 7 highly effective Data Mining techniques.

    Data mining specialists have careers dedicated for better understanding about how to process and draw conclusions from the large amounts of information.

    Source: HOB
    7095
  • 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
    81723
  • 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
  • Customer Centric Data Mining!!

    Data mining is sifting through all of the data collected by a business or organization, searching for relationships so that reasonable predictions can be made with regard to behavior. This kind of activity is most common among businesses that deal with consumer behavior of any kind.

    Source: HOB
    24501
  • Should Know These Top Data Mining Tools For Your Business

    Data is absolutely priceless and the new gold for all businesses. But it is not a cake walk to analyze it as greater things come at a greater cost. With the tremendous growth in data, we need a process to extract useful insights from the raw data.

    Source: HOB
    9258
  • Know How Businesses Are Gaining From Data Mining Techniques?

    Data mining techniques have advantages for several types of businesses, as well as there are more to be discovered over time. Since the era of the computer, things have been changing pretty quickly and every new step in the technology is equivalent to a revolution.

    Source: HOB
    5967
  • How can you achieve competitive extremity in business through Data mining?

    Data mining is the process through which we analyze the behavior of the customer towards the contribution by the business. New and advanced technologies are also covered rather than the data. It helps you to extract and analyze meaning through expansive sets of data. This data is used in summarizing the valuable information which is to be used for increasing revenue, and also gather information on business or product. In this technological world, business organizations are benefited and they are able to make business decisions which are more definite, which help them to increase their sales and earn more profit. All the new products and services are introduced and all the marketing advertising, data mining improves customer obedience and find hidden profits of the business.

    Source: HOB
    6129
  • 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
    14502
  • How can you maximize your business profits through business Intelligence?

    The main motive of every business is to earn a profit and correct decisions help you to attain effectively. Every leader of the business takes a number of decisions which have a great impact on the work in multiple ways. Therefore, to become a profitable organization the ultimate goal should be an effective decision. Business intelligence helps in the plans which are implemented successfully which is the foremost need of every business. New strategies and procedure of right planning are implemented by business intelligence. Data is being analyzed, stored and accessed by the technologies of business intelligence.

    Source: HOB
    7125
  • You Must Know The Facts Related To Data Mining

    Data mining is the process of examining a data set to extract certain patterns. Companies use this process to determine the outcome of their existing goals. They summarize this information into useful methods to create revenue and/or cut costs. When search engines are accessed, they begin to build lists of links from the first page it accesses. It continues this process throughout the site until it reaches the root page.

    Source: HOB
    21462
  • Data Mining And Predictive Analysis Both Make Use Of Algorithms To Gain Insights

    Now have you ever come across the term data mining? As the name implies, it is an analytic process used to explore a large amount of data in regards to consistent patterns and systematic relationships between variables. Businesses prefer data mining because it aims to predict. Predictive analyses, on the other hand, refine data resources, in particular, to extract hidden value from those newly discovered patterns. �¢??Data mining + Domain knowledge =>Predictive Analytics =>Business Value�¢??

    Source: HOB
    10554
  • Understanding The Term Data Mining Through Youtube Video!

    Data mining is the method of sorting through massive information sets to spot patterns and establish relationships to unravel issues through information analysis.

    Source: HOB
    14937
  • Data Scientists Should Read These Books In 2K19

    All professionals I'm sure looking ahead to a new start and want to increase their data analysis skills. So here is the collection of books through which data scientist can sharpen up their knowledge and skills.

    Source: HOB
    11049
  • 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
    6939
  • Understanding The Term Data Mining And Its Impact On Business

    What is Data Mining? Well, it can be defined as the process of getting hidden information from the piles of databases for analysis purposes. Data Mining is also known as Knowledge Discovery in Databases (KDD). It is nothing but the extraction of data from large databases for some specialized work.

    Source: HOB
    32652
  • Grab Few Programming Languages On the Peak for Machine Learning

    These are the top 10 machine learning which might lead you towards good skills and vast opportunities for your career. All these languages are the highly rated machine learning repositories.

    Source: HOB
    30255
  • Data Mining Software Market 2018 Segmentation, Technology, Consumption, Trend, Opportunity and Forecast to 2023

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

    Source: ReportsandReports
    7125
  • Global Mining Explosives Market Analysis and Forecast by Type and Application (2019-2023)

    Global Mining Explosives Market offers all-embracing knowledge on Latest Industry Trends, Market Status, Geographic Analysis and Financial Outlet.

    Source: Market Research Explore
    4134
  • Global Anhydrous Hydrogen Fluoride (AHF) Market 2019 Competitive Landscape and Industrial Development

    The report Global Anhydrous Hydrogen Fluoride (AHF) market provides information about product categories and a customized business model.

    Source: Market Research Explore
    3018
  • Global Laser Video Walls Market 2019-2024: Barco, Delta, Christie, NEC Display, Planar (a Leyard Company)

    The global Laser Video Walls market report comprises extensive information in terms of changing market dynamics, latest developments, Laser Video Walls market and manufacturing trends, and structural changes in the market.

    Source: MARKET RESEARCH EXPLORE
    3474
  • Global Linear Actuators Market 2019: Representative Preference, Development Scenario With End-User Application 2024

    Get a complete insight into the worldwide Linear Actuators Market in our Global Linear Actuators Market Report. Starting from Monetary Contribution, Impact on the Economy, Types of Product/service, Key players and many more.

    Source: MARKET RESEARCH EXPLORE
    3186
  • Global MEMS Gas Sensor Market In Research Equator According To Consultant Awareness 2019-2024

    Get a complete insight into the worldwide MEMS Gas Sensor Market in our Global MEMS Gas Sensor Market Report. Starting from Monetary Contribution, Impact on the Economy, Types of Product/service, Key players and many more.

    Source: MARKET RESEARCH EXPLORE
    2625
  • Global Mining Machinery Market 2019 - SWOT Analysis, Industry Trends and Research with Forecast 2024

    The report includes production data, consumption data and revenue data across worldwide. The Market share and growth rate is also mentioned.

    Source: Market Research Explore
    3024
  • Global Mining Dump Trucks Market 2019 - Recent Trends, Product Development and Forecast 2024

    The report includes production data, consumption data and revenue data across worldwide. The Market share and growth rate is also mentioned.

    Source: Market Research Explore
    2700
  • Rules Must Keep In Mind For Data Mining

    Positive returns on analytics investment require management action. But many managers are reluctant to take action based on analytics, especially when the numbers don't seem to match with their own gut understanding.

    Source: HOB
    10056
  • 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
    10008
  • 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
  • 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
  • Data Mining - Worth a concept to know about

    Data science, Data mining and Data analysis are abuzz today with the number of jobs growing rapidly with each coming day in these fields.

    Source: HOB
    6228
  • 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
    28413
  • Applications of Machine Learning

    Machine Learning is an application of Artificial Intelligence which provides machines with the capability to take decisions without any human intervention.

    Source: HOB
    16542
  • Which one is best, SAS or R?

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

    Source: HOB
    9030
  • 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.

    Source: HOB
    10818
  • Some Free Online Courses Of Data Science Which Will Make Learning Easier

    Becoming a Data Scientist might be on your mind right now. Learn Data Science step by step through real Analytics examples.

    Source: HOB
    6099
  • Will Automation take over the job of Data Scientists in Future?

    A recent report from Gartner predicts that 40% of Data Science tasks will become automated by 2020.

    Source: HOB
    10140
  • Crack Interviews- 7 Most Important Terms that Every Data Scientist Should Know

    The 7 most important terms in Data Science that every Data Scientist must know while making a career in Data Science are discussed in the present article.

    Source: HOB
    7341
  • 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
    6309
  • 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
    6672
  • Clarifying Differences between Data Analysis, Data Mining, Data Science, Machine Learning, and Big Data

    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.

    Source: HOB
    119868
  • 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.

    Source: HOB
    33027
  • Jobs, Career, Pay-Scale, Profile, Skills of a Data Scientist in a one scale

    If you really want to know the demand of data science, this article will give you a complete check of who is a data scientist and the future jobs of a data scientist with a pay scale in the near future.

    Source: HOB
    6135
  • Learn amazing Data Visualizations Practices using these top YouTube videos

    Often we commit the silly mistakes in Data Visualization which lead to wrong interpretation of the data, but with good practices and good techniques effective visualizations could be created in a lesser amount of time.

    Source: HOB
    9285
  • 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.

    Source: HOB
    5505
  • 5 Best Online courses For every Beginner and Experienced in Machine Learning

    In this article, we will look at the top 5 online courses for Machine Learning. These courses are designed in a way that every beginner and professional can be benefitted from the course.

    Source: HOB
    11256
  • 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.

    Source: HOB
    7350
  • 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.

    Source: HOB
    7275
  • Free Tutorials on Machine Learning for a comprehensive learning

    Welcome to this free online class on machine learning. Machine learning is one of the most exciting recent technologies.

    Source: HOB
    6330
  • 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
    6495
  • Make Machine Learning Algorithms on your Tips

    Build a strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide.

    Source: HOB
    6630
  • Analyze and Visualize your Data through best Data Science tools

    Data Science Tools, Data Analysis, Data Warehousing, Data Mining, Microsoft Azure, MySQL, DataRobot, Amazon

    Source: HOB
    6636
  • Higher Level Courses of Machine Learning enables your Certifications

    Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome.

    Source: HOB
    6864
  • Prime Job Roles and Resposibilities of a Data Scientist

    A data scientist will be responsible for designing and implementing various processes and different layouts for the intricate and large-scale datasets that are basically used for modeling, data mining, and various research purposes.

    Source: HOB
    6546
  • A Youtube video captures the importance of Blockchain in Business

    Blockchain is changing the way we think systems should function. Learn more about how blockchain works, who's using it, and the future of the technology.

    Source: HOB
    5337
  • Some cases where Artificial intelligence is boosting up the Financial Industry

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