About

Collection of Books

Articles Related

Book

• Book:Machine Learning – The Complete Guide
• An Introduction to Statistical Learning with Applications in R - Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani
• Oracle® Data Mining Concepts 11g Release 1 (11.1)
• The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Stanford
• Mining of Massive datasets
• Bayesian Reasoning and Machine Learning by David Barber
• Information Theory, Inference, and Learning Algorithms by David J.C. Mackay
• Foundations of Statistical Natural Language Processing by Manning Schütze Natural Language - (Processing|Processor) (NLP)
• Introduction to Information Retrieval by Manning, Raghavan and Schütze
• A first encounter with machine learning by Welling
• Gaussian processes for Machine Learning by C.E. Rasmussen
• The Elements of Statistical Learning, by Hastie, Tibshirani, Friedman
• Introduction to Machine Learning by Smola, Vishwanathan
• Think Bayes by Downey
• LIONbook Roberto Battiti, Mauro Brunato. The LION Way: Machine Learning plus Intelligent Optimization. Lionsolver, Inc. 2013.
• Toby Segaran Programming Collective Intelligence: Building Smart Web 2.0 Applications
• R and Data Mining: Examples and Case Studies by Yanchang Zhao
• Mining the Social Web (2nd Edition) Amazon
• Modeling with Data - Tools and Techniques for Scientific Computing (Ben Klemens)

Oracle Data Mining

The following books provide an introduction to Oracle Data Mining. Both are based on Oracle Data Mining 10.2.

• Java Data Mining: Strategy, Standard, and Practice, (The Morgan Kaufmann Series in Data Management Systems), by Mark F. Hornick, Erik Marcadé, and Sunil Venkayala
• Oracle Data Mining: Mining Gold from Your Warehouse, (Oracle In-Focus series), by Dr. Carolyn Hamm

Documentation / Reference

• Free Data Science Book