To cover Python programing as well as machine learning in one book the A.I. Investor goes over everything very quickly with few pages used for each subject. For a proper introduction to Python the Python Crash Course book is a much better guide.

This book is closer to what one might consider a complete book about machine learning.

This is the follow-on book from the same author. It covers much the same content though it goes into more depth and allows the machine leanring code to work on international markets too, as well as introducing advanced content such as modern portfolio theory.

For the absolute basics about the stock market Stock Market Investing 1X1 is probably a better book. The A.I. Investor book tries to teach bits of investing as well as machine learning at the same time, which makes it feel a little cluttered.

To cover data-Science more completely this book does a better job. The A.I. Investor teaches investing at the same time, so fewer pages are used to teach the basics of machine learning. In fact the A.I. Investor is a smaller book.

An older book that considers a wide range of investment strategies is What Works on Wall Street. The tools from the A.I. Investor book can be used to explore many different investment strategies and backtest them, so this book would be a good addition.

Although coming from a very different perspective from ordinary investing based on fundamentals, there is a lot of good content here in the dark art of Technical Analysis.

This is the book that Paul Tudor Jones heavily recommends. From the perspective of Technical Analysis investing seems to take on a role closer to that of a poker game than a strategy game. There's merit in considering both approaches in my opinion.

This is a simpler book from the same author, obviously written as a feeder took as the content is simpler and leads on to International A.I. Investor.

To use Data Science tools to pick stocks there isn't much around currently when it comes to long term investment. This book does that though.

Applied Python for Value Investing. This is a different approach to trading, and also more amateur in nature, though more applied.

For a more technical view of stock investing the A.I. Investor can show a lot of the quantitative side of investing that A Random Walk On Wall Street Lacks.

This book is interesting in that it looks at all these value investing strategies in a way where you see all the code and explanations are there too.

Pat Dorsey goes through the super classic stuff (discounted cash flows, economic moat, margin of safety, etc.) where the tools you need to use are basically Excel. There's ways to leverage Machine Learning to pick stocks too.

I think this connection should exist.

Applied Python for Value Investing

I wrote this book :) Basically the Machine Learning tools are the same, except in this book I deliberately set out at the beginning to make it pick stock for you that you might invest in.

Modern day tools to do this kind of quant investing yorself.