This is an excellent book for those that studied AI 10, 20 or 30 years ago, and need a quick weekend refresher course. In 100-pages, the author takes the reader through the basics of machine learning with sufficient maths of the core algorithms and neural networks.
I would not recommend this book if you have not done a university level maths or statistics course. If you just want to learn how to program machine learning in Python, Aurelien Geron’s Hands-on Machine Learning with Scikit-Learn and Tensorflow is a better start.
However, if you are comfortable with scientific notations, then this book is a treasure, and it covers the basics of what a practicing machine learning engineer needs to know!
This book is also a recommended read for my team.