Books on data mining free download

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Data Mining and Analysis: Fundamental Concepts and Algorithms, by While there are several good books on data mining and related free PDF download (draft. Data Mining is about explaining the past and predicting the future by means of data analysis. Free PDF ebooks (user's guide, manuals, sheets) about Data mining concepts and techniques ppt ready for download.
Data Mining and Big Data PDF Free Download, Reviews, Read Online, ISBN: 3319409727, By Ying Tan, Yuhui Shi. Data Mining For Dummies 1st Edition Pdf Download For Free - By Meta S Brown Data Mining For Dummies Pdf,EPUB,AZW3 Free Download. Data Mining and Analysis: Fundamental Concepts and Algorithms, by While there are several good books on data mining and related free PDF download (draft. Data Mining is about explaining the past and predicting the future by means of data analysis. Free PDF ebooks (user's guide, manuals, sheets) about Data mining concepts and techniques ppt ready for download.


KDnuggets Home » News » 2015 » Mar » Publications » More Free Data Mining, Data Science Books and Resources ( 15:n10 )



The list below based on the list compiled by Pedro Martins, but we added the book authors and year, sorted alphabetically by title, fixed spelling, and removed the links that did not work. The descriptions are by Pedro.

  1. An Introduction to Data Science by Jeffrey Stanton, Robert De Graaf, 2013.
    An introductory level resource developed by Syracuse University
  2. An Introduction to Statistical Learning: with Applications in R by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, 2013.
    Overview of statistical learning based on large datasets of information. The exploratory techniques of the data are discussed using the R programming language.
  3. A Programmer’s Guide to Data Mining by Ron Zacharski, 2012.
    A guide through data mining concepts in a programming point of view. It provides several hands-on problems to practice and test the subjects taught on this online book.
  4. Bayesian Reasoning and Machine Learning by David Barber, 2012.
    focusing on applying it to machine learning algorithms and processes. It is a hands-on resource, great to absorb all the knowledge in the book.
  5. Big Data, Data Mining, and Machine Learning: Value Bitcoin computer mining for Business Leaders and Practitioners by Jared Dean, 2014.
    On this resource the reality of big data books on data mining free download explored, and its benefits, from the marketing point of view. It also explains how to storage these kind of data and algorithms to process it, based on data mining and machine learning.
  6. Data Mining and Analysis: Fundamental Concepts and Algorithms by Mohammed J. Zaki, Wagner Meira, Jr., Data Mining and Analysis: Fundamental Concepts and Algorithms, Cambridge University Press, May 2014.
    A great cover of the data mining exploratory algorithms and machine learning processes. These explanations are complemented by some statistical analysis.
  7. Data Mining and Business Analytics with R by Johannes Ledolter, 2013.
    Another R based book describing all processes and implementations to explore, transform and store information. It also focus on the concept of Business Analytics.
  8. Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management by Michael J.A. Berry, Gordon S. Linoff, 2004.
    A data mining book oriented specifically to marketing and business management. With great case studies in order to understand how to apply these techniques on the real world.
  9. Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery by Graham Williams, 2011.
    The objective of this book is to provide you lots of information on data manipulation. It focus on the Rattle toolkit and the R z97x mining to demonstrate the implementation of these techniques.
  10. Gaussian Processes for Machine Learning by Carl Edward Rasmussen and Christopher K. I, books on data mining free download. Williams, 2006.
    This is a theoretical book approaching learning algorithms based on probabilistic Gaussian processes. It’s about supervised learning problems, describing models and solutions related to machine learning.
  11. Inductive Logic Programming Techniques and Applications by Nada Lavrac and Saso Dzeroski, 1994.
    An old book about inductive logic programming with great theoretical and practical information, referencing some important tools.
  12. Information Theory, Inference, and Learning Algorithms by David MacKay, 2009.
    An interesting approach to information theory merged with the inference and learning concepts. This book taught a lot of data mining techniques making firepro w9100 mining relationship with information theory.
  13. Introduction to Machine Learning by Amnon Shashua, 2008.
    A simple, yet very important book, to introduce everyone to the machine learning subject.
  14. Machine Learning by Abdelhamid Mellouk and Abdennacer Chebira, 2009.
    A very complete book about the machine learning subject approaching several specific, and very useful techniques.
  15. Machine Learning, Neural and Statistical Classification by Donald Michie, David Spiegelhalter, Charles Taylor, 1994.
    A good old book about statistical methodology, learning techniques and another important issues related to machine learning.
  16. Machine Learning - Wikipedia Guide
    A great resource provided by Wikipedia assembling a lot of machine learning in a simple, yet very useful and complete guide.
  17. Mining of Massive Datasets by Jure Leskovec, Anand Rajaraman, Jeff Ullman, 2014.
    The focus of this book is provide the necessary tools and knowledge to manage, books on data mining free download, manipulate and consume large chunks of information into databases.
  18. Modeling With Data by Ben Klemens, 2008.
    This book focus some processes to solve analytical problems applied to data. In particular explains you the theory to create tools for exploring big datasets of information.
  19. Pattern Recognition and Machine Learning (Information Science and Statistics) by Bishop, Christopher, 2006.
    This book presents you a lot of pattern recognition stuff based on the Bayesian networks perspective. Many machine learning concepts are approached and exemplified.
  20. Probabilistic Programming & Bayesian Methods for Hackers by Cam Davidson-Pilon, 2013.
    A book about Bayesian networks that provide capabilities to solve very complex problems. Also discusses programming implementations on the Python language.
  21. The Elements of Statistical Learning: Data Mining, Inference, and Books on data mining free download, Second Edition by Trevor Hastie, Robert Tibshirani and Jerome Friedman, 2009.
    This is a conceptual book in terms of data mining and prediction with a statistical point of view. Covers many machine learning subjects too.
  22. Reinforcement Learning: An introduction by Richard S. Sutton and Andrew G. Barto, 2015.
    A solid approach to the reinforcement learning thematic providing solution methods. It describes also some very important case studies.
  23. Think Bayes, Bayesian Statistics Made Simple by Allen B. Downey, 2013.
    A Python programming language approach to the Bayesian statistical methods, where these techniques are applied to solve real-world problems and simulations.

Bio: Pedro Martins is one half of Data On Focus team, fascinated with all issues related to IT. He is in mid-twenties, from Portugal, has an informatics engineering background, and passion for data mining and data science.

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More Free Data Mining, Data Science Books and Resources

Free PDF ebooks (user's guide, manuals, sheets) about Data mining concepts and techniques ppt ready for download. R Data Mining Blueprints 1st Edition Pdf Download For Free - By Pradeepta Mishra R Data Mining Blueprints Pdf,EPUB,AZW3 Free Download. 27 free data mining books. to file sharing sites and I would question if they are in fact "free". I'm all on for sharing books but only when they have the consent. Online shopping from a great selection at Books Store. More free resources and online books by leading authors about data mining, data science, machine learning, predictive analytics and statistics. The list below based. Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated.

Data Mining and Analysis: Fundamental Concepts and Algorithms, by While there are several good books on data mining and related free PDF download (draft. 27 free data mining books. to file sharing sites and I would question if they are in fact "free". I'm all on for sharing books but only when they have the consent. More free resources and online books by leading authors about data mining, data science, machine learning, predictive analytics and statistics. The list below based.


I've received an unsolicited email today from Pedro Marcus, from DataOnFocus. While usually I don't even open them due to the volume that I get each day, this one was actually very interesting, thus I'm sharing it with you.

Free data mining books

  1. An Introduction to Statistical Learning: with Applications in R
    Overview of statistical learning based on large datasets of information. The exploratory techniques of the data are discussed using the R programming language.
  2. Modeling With Data
    This book focus some processes to solve analytical problems applied to data. In particular explains you the theory to create tools for exploring big datasets of information.
  3. Big Data, Data Mining, and Machine Learning
    On this resource the reality of big data is explored, and its benefits, from the marketing point of view. It also explains how to storage these kind of data and algorithms to process it, based on data mining and machine learning.
  4. Data Mining: Practical Machine Learning Tools and Techniques
    Full of real world situations where machine learning tools are applied, this is a practical book which provides you the knowledge and hability to master the whole process of machine learning.
  5. Machine Learning – Wikipedia Guide
    A great resource provided by Wikipedia assembling a lot of machine learning in a simple, yet very useful and complete guide.
  6. Data Mining and Analysis: Fundamental Concepts and AlgorithmsA great cover of the data mimning exploratory algorithms and machine learning processes. These explanations are complemented by some statistical analysis.
  7. Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Goo...
    The exploration of social web data is explained on this book. Data capture from the social media apps, it’s manipulation and the final visualization tools are the focus of this resource.
  8. Probabilistic Programming & Bayesian Methods for Hackers
    A book about bayesian networks that provide capabilities to solve very complex problems. Also discusses programming implementations on the Python language.
  9. Data Mining Techniques: For Marketing, Sales, and Customer Relation...
    A data mining book oriented specifically to marketing and business managent. With great case studies in order to understand how to apply these techniques on the real world.
  10. Inductive Logic Programming Techniques and Applications
    An old book about inductive logic programming with great theoretical and practical information, referencing some important tools.
  11. The Elements of Statistical Learning: Data Mining, Inference, and P...
    This is a conceptual book in terms of data mining and prediction with a statistical point of view. Covers many machine learning subjects too.
  12. An Introduction to Data Science
    An introductory level resource developed by a american university with to objective to provide solid opinions and experience about data sciences.
  13. Mining of Massive Datasets
    The focus of this book is provide the necessary tools and knowledge to manage, manipulate and consume large chunks of information into databases.

You can check the full list here.

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