Understanding Machine Learning: From Theory to Algorithms (Free Book Download)

Understanding Machine Learning: From Theory to Algorithms by Shai Shalev-Shwartz, Associate Professor at the School of Computer
Science and Engineering at The Hebrew University, Israel, and
Shai Ben-David, Professor in the School of Computer Science at the
University of Waterloo, Canada. The book looks very thorough. Below is just a sampling of the topics covered.

• Bias-Complexity Tradeoff
• Model Selection
• Support Vector Machines
• Decision Trees
• Neural Networks
• Clustering
• Dimensionality Reduction
• Feature Selection and Generation
• Advanced Theory
• And LOTS LOTS more….

Happy Learning!