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!

One thought on “Understanding Machine Learning: From Theory to Algorithms (Free Book Download)”

  1. I believe it’s useful and only people with professional knowledge can understand it, Ididn’t say the book was not good but I guess the machine technology needs some foundation or basic knowledge to further learning .

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