This book is a follow-up from Thoughtful Machine Learning, using Python instead of Ruby.
How to dissect algorithms at a granular level using various tests.
A framework for testing machine learning code.
How to approach problems through scientific deduction and clever algorithms.
Best suited for software engineers who don’t need the nuances of academic theory and just want to implement machine learning in their daily work.