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. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. Inductive Logic Programming Techniques and Applications
    An old book about inductive logic programming with great theoretical and practical information, referencing some important tools.
  10. 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.
  11. 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.
  12. 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.

DSC Resources

Additional Reading

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Comment by Hassane AZZI on January 3, 2019 at 3:36pm

hank you for sharing !

Comment by Roberto Jourdain on February 23, 2017 at 11:32am

I found a link to this page in twitter today.

Do you realize that about half of the links are "dead"!!!

I realize the it was done nearly two years ago, but don't link it if it is no longer relevant... just an opinion.

Comment by TAJUDEEN SANNI on March 29, 2016 at 4:39am
This books will be of an immense contribution to my statistical knowledge.Thanks Vincent.
Comment by Vincent Granville on March 30, 2015 at 10:20am

Hi Mark, I removed one of the entries a while back. I'll check the list again.

Comment by Mark Vaughan on March 30, 2015 at 1:41am

There are a number of books on this article that have links 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 and permission of the author. This is usually stated on the page where they are linked from.

Comment by Baguinebie Bazongo on March 26, 2015 at 7:36am

Very thank for these books

This is a greater help you bring us in developing countries


Comment by Vincent Granville on March 24, 2015 at 8:24am

Don't forget my book on data science 2.0 / automated data science, still under construction, but you can check all articles starred in red here: they'll be in my book, and of course they are free for everyone to read.

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