5 Machine Learning Books You Should Read in 2020-2021

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In this video, I talk about some machine learning books that I HIGHLY recommend. These books are recommended for people who are at a beginner to intermediate level in machine learning skill. That is not to say you need to read every single one of them; certain ones will be better for you as an individual than others. Ultimately though, the more you read, the more you are likely to learn!

The Hundred-Page Machine Learning Book:
- Amazon: https://amzn.to/3563PfK
- PDF: https://www.academia.edu/40370952/The_Hundred_Page_Machine_Learning_Book
- GitHub: https://github.com/aburkov/theMLbook

An Introduction to Statistical Learning:
- Amazon: https://amzn.to/3k8SaRN
- PDF: https://faculty.marshall.usc.edu/gareth-james/ISL/ISLR%20Seventh%20Printing.pdf
- GitHub: https://github.com/rghan/ISLR

Applied Predictive Modeling:
- Amazon: https://amzn.to/38lbf0M
- GitHub: https://github.com/topepo/AppliedPredictiveModeling

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow:
- Amazon: https://amzn.to/3eAh1N2
- GitHub: https://github.com/ageron/handson-ml2

Approaching (Almost) Any Machine Learning Problem:
- Amazon: https://amzn.to/36gSjh0

Deep Learning:
- Amazon: https://amzn.to/3p83vVW
- HTML: https://www.deeplearningbook.org/

Видео 5 Machine Learning Books You Should Read in 2020-2021 канала Richard On Data