Free Books by Experts in Machine Learning

Post date: Oct 05, 2020 3:15:14 PM

• • A Comprehensive Guide to Machine Learning,

  • By Soroush Nasiriany, Garrett Thomas, William Wang, Alex Yang.

  • Department of Electrical Engineering and Computer Sciences, University of California, Berkeley. Dated June 24, 2019.

  • https://t.co/iZsREscT9v

  • The Math of Machine Learning - Berkeley University Textbook

  • By Garret Thomas.

  • needed for an introductory class in machine learning, which at UC Berkeley is known as CS 189/289A.

  • https://www.datasciencecentral.com/profiles/blogs/tutorial-the-math-of-machine-learning-berkeley-university

  • Foundations of Data Science

  • By Avrim Blum, John Hopcroft, and Ravindran Kannan (2018).

  • from Microsoft Research Lab

  • https://www.cs.cornell.edu/jeh/book.pdf

  • Machine Learning from Scratch

  • By Danny Friedman

  • author is a stats major at Harvard

  • https://dafriedman97.github.io/mlbook/content/introduction.html

  • More books here