'The Elements of Statistical Learning: Data mining, Inference and Prediction', Trevor Hastie, Robert Tibshirani and Jerome H. Friedman (2009) - available online
'An Introduction to Statistical Learning with Applications in R', Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani (2013)- available online
Deep learning
Deep learning: CS 182 Spring 2021 by UC Berkeley (Sergey Levine) - available on youtube
Deep learning for Coders with fastai and PyTorch by Fastai - available online
Reinforcement lecture learning series by DeepMind - available online
One user's experiences in learning ML
Document describing how one user, who knew little about ML, got familiar and comfortable with ML using the product data and the code shared by the ML project. The document also presents a simulation on the integration of ML into a manual classification operation to achieve better accuracy at the same or lower cost. Many lessons learned are shared! - A user's experiences with the ML code and data shared