Download Free Data Mining eBooks

Campus Gengenbach
Klosterstraße 14, 77723
Campus Offenburg
Badstraße 24, 77652
1. Open Source Machine Learning Degree on Github
2. Data Mining: Concepts and Techniques, Jiawei Han and Micheline Kamber
About data mining and data warehousing
3. Mining of Massive Datasets, Jure Leskovec, Anand Rajaraman,
Jeff Ullman
The focus of this book is provide the necessary tools and
knowledge to manage, manipulate and consume large chunks
of information into databases.
4. The Elements of Statistical Learning, Trevor Hastie, Robert
Tibshirani, Jerome Friedman
This is a conceptual book in terms of data mining and
prediction with a statistical point of view. Covers many machine
learning subjects too.
5. An Introduction to Statistical Learning: with Applications in R,
Gareth James, Daniela Witten, Trevor Hastie and Robert
Tibshirani
Overview of statistical learning based on large datasets of
information. The exploratory techniques of the data are
discussed using the R programming language.
6. Data Science for Business, Foster Provost, Tom Fawcett
An introduction to data sciences principles and theory,
explaining the necessary analytical thinking to approach these
kind of problems. It discusses various data mining techniques
to explore information.
7. 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.
8. Big Data, Data Mining, and Machine Learning: Value Creation for Bus...
In this book big data is explored 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.
9. 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.
10. 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.
11. Data Mining and Analysis: Fundamental Concepts and Algorithms
A great cover of the data mimning exploratory algorithms and machine learning processes. These explanations are
complemented by some statistical analysis.
12. Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Goo...
Data capture from the social media, it’s manipulation and the final visualization tools are focus of this resource.
13. 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.
14. 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.
15. Inductive Logic Programming Techniques and Applications
An old book about inductive logic programming with great theoretical and practical information, referencing some
important tools.
16. An Introduction to Data Science
http://ks.informatik.hs-offenburg.de/nc/lehre/data-mining/free-data-mining-ebooks/
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Campus Gengenbach
Klosterstraße 14, 77723
Campus Offenburg
Badstraße 24, 77652
An introductory level resource developed by an american university with to objective to provide solid opinions and
experience about data sciences.
Sources: several websites...
http://ks.informatik.hs-offenburg.de/nc/lehre/data-mining/free-data-mining-ebooks/
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