An Introduction to Statistical Learning

OP mentions Essentials Of Statistical Learning — it’s a pretty heavy book that gets mentioned quite a bit. From the same Stanford publishing there is Introduction to Statistical Learning. It’s a good intro to Machine Learning as a whole. Far too often it seems people want to jump directly into Deep Learning, I’d shy away from that and having a better understanding of ML as a discipline makes the application of DL much more productive. Edit: Also would like to add a lot of people want to use DL for imaging stuff. Take some time to understand Digital Image Processing as well. It’s a good introduction to convolution and filtering. As well as just understanding what an image is and what can be done with it! This is just sort of advice from my path. The second book they mention also had some pretty heavy stuff involving probability and probability models. If you can take some time to understand Automata and it’s supplications such as Hidden Markov Models that’ll be a big help.…