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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
    10167
  • 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
    13473
  • 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
    7095
  • 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
    6531
  • 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
    7347
  • 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
    15201
  • 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.
    47676
  • 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
    46257
  • 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
    10947
  • 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
    26667
  • 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
    14484
  • 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
    11562
  • 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
    8310
  • 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
    9912
  • 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
    5928
  • 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
    7119
  • 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
    11067
  • 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
    7746
  • 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
    19344
  • 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
    107883
  • 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
    28254
  • 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
    11217
  • 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
    17205
  • 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
    4743
  • 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
    4476
  • 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
    75090
  • 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
    7377
  • 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
    13872
  • 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
    5676
  • 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
    3453
  • 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
    3405
  • 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
    6846
  • 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
    3807
  • 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
    9558
  • 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
    5301
  • 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
    7875
  • 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
    7971
  • 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
    3954
  • 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
    9411
  • 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
    25278
  • 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
    2931
  • 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
    6474
  • 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
    7059
  • 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
    5709
  • 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
    3117
  • 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
    3258
  • 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
    14226
  • 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
    5727
  • Which one is best, SAS or R?

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

    Source: HOB
    4692
  • 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
    4251
  • 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
    3273
  • 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
    5064
  • 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
    4158
  • 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
    2769
  • 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
    2673
  • 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
    86673
  • 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
    10320
  • 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
    2805
  • 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
    5352
  • 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
    2361
  • 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
    6246
  • 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
    3927
  • 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
    3336
  • 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
    2310
  • 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
    2721
  • 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
    2976
  • 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
    2100
  • 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
    2679
  • 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
    2694
  • Some cases where Artificial intelligence is boosting up the Financial Industry

    Over the last several years, the financial services industry has been focusing on how to use Artificial Intelligence (AI) to exceed customer expectations, reduce operational costs, and make smarter overall business decisions.

    Source: HOB
    2127
  • Capture What Data Science is and Lifecycle of a Data Scientist

    Data science is a present-day technology world using a very common term. It is a multi-disciplinary entity that deals with data in a structured and unstructured manner.

    Source: HOB
    1962
  • 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
    2424
  • You can perform better in Machine Learning as a professional

    Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends.

    Source: HOB
    2787
  • Data Science: The Climax of your future Career

    The wide application of Information Technology and Computer Science has given rise to so many new fields in the corporate sector which have enormous potentials and possibilities.

    Source: HOB
    2217
  • Why there is a Hype around Data Science?

    Data science is the buzzword that has gripped the entire world. Despite its ever-growing popularity, there are many questions related to this field.

    Source: HOB
    2190
  • Is Artificial Intelligence easy to grab? Find some books

    Artificial intelligence (AI) is a field within computer science that is attempting to build enhanced intelligence into computer systems.

    Source: HOB
    2154
  • How Data Science gives perks to your career?

    Data science makes use of a scientific approach to gain insight and knowledge out of data. It employs different processes, systems, and algorithms to derive insights out of structured and structured data.

    Source: HOB
    1356
  • Machine Learning Books that beginners should focus on

    You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks.

    Source: HOB
    2085
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