posted Oct 5, 2020, 8:15 AM by MUHAMMAD MUN`IM AHMAD ZABIDI
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updated Oct 17, 2020, 9:52 PM
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- 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
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