My notes on some books I read on Machine Learning

Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow - Aurélien Geron [open notes]
Python Machine Learning - Sebastian Rashcka [open notes]
The Hundred-Page Machine Learning Book - Andriy Burkov [open notes]
Introduction to Machine Learning with Python: A Guide for Data Scientists - Andreas C. Müller and Sarah Guido [open notes]
Building Machine Learning Powered Applications: Going from Idea to Product - Emmanuel Ameisen [open notes]
Learning Spark: Lightning-Fast Data Analytics - Jules S. Damji, Brooke Wenig, Tathagata Das, Denny Lee [open notes]
An Introduction to Statistical Learning - Gareth M. James, Daniela Witten, Trevor Hastie, Robert Tibshirani [open notes]
Machine Learning Engineering - Andriy Burkov [open notes]
Designing Machine Learning Systems - Chip Huyen [open notes]

Applications

From van den Oord's paper