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The LIONbook on machine learning and optimization, written by two of our co-founders, is provided free on a chapter by chapter basis for personal and non-profit usage:

Roberto Battiti, Mauro Brunato.
The LION Way: Machine Learning plus Intelligent Optimization.
Lionsolver, Inc. 2013.

  • Chapters 1 and 2 - Introduction and nearest neighbors
  • Chapter 3 - Learning requires a method
  • Chapter 4 - Linear models
  • Chapter 5 - Mastering generalized linear least-squares
  • Chapter 6 - Rules, decision trees, and forests
  • Chapter 7 - Ranking and selecting features
  • Chapter 8 - Specific nonlinear models
  • Chapter 9 - Neural networks, shallow and deep
  • Chapter 10 - Statistical Learning Theory and Support Vector Machines (SVM)
  • Chapter 11 - Democracy in Machine Learning

Read at http://www.lionsolver.com/LIONbook/

Find more interesting books at http://www.analyticbridge.com/group/books

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