Interpretable Machine Learning with Python: Learn to build interpretable high-performance models with hands-on real-world examples Paperback – 26 Mar. 2021

I found this book really useful in understanding the importance of interpretability and learning how to put it into practice building models that I have confidence in.I have been building machine learning models in python for a few years now, so much of this wasn’t new to me, but I’d never taken the time to sit down and think about all things that go into making truly transparent models. Working through the book ready joined some of the dots that I’d not really considered before.The book is full of real-world examples which make it really easy to relate to. There are also python ‘code-along’ sections throughout that build chapter by chapter giving you the hands on experience you need to build models of your own.As will all the packt books the code used in the book is downloadable and there links throughout the book to further reading as well as a discord community where you can share your feedback and discuss concepts in the book.