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In the jungle of publications about ML, this book provides a unique hands-on and principled set of tools to really get you through a project from start to finish. A must read to any working data scientist or data engineer out there. Can't recommend it enough.
This book is NOT an overly technical book. The way I read it, it's a book that's centered around the lessons the author, Emmanuel , learned during his time as a data scientist/ML engineer. He formats these lessons in such a way that makes the book extremely easy to read and grasp. As a newly-hired data scientist who has been charged with created the company's anomaly detection application, this book will serve me well!
I've met a lot of people who would say they are well aware of the contents of this book and that they would have nothing to learn from reading it. But, it amazes me how many times I've seen those people spin up projects and completely ignore the steps they claim to know. If you're managing a team, I think this should be required reading. "Building Machine Learning Powered Applications: Going from Idea to Product" helps to crystalize the best practices that are, all too often, neglected at fast-moving startups and on rapid-prototyping teams.