![]() Very well written (Slightly old and doesn’t cover Deep Learning, but works for all practical purposes).ħ. Rules of Machine Learning: Best practices for Machine Learning Engineeringīook Link: Rules of Machine Learning: Best practices for Machine Learning Engineering ![]() Non Technical product managers and non-machine Learning software engineers entering the field should not miss this tutorial. ![]() Really good treatise on Machine Learning theory.Ħ. Seven Steps to Success: Machine Learning in Practiceīook Link: Seven Steps to Success: Machine Learning in Practice The bible of Deep Learning, this book is an introduction to Deep Learning algorithms and methods which is useful for a beginner and practitioner both.ĥ. Understanding Machine Learning: From Theory to Algorithmsīook Link: Understanding Machine Learning: From Theory to Algorithms It is one of the most famous theoretical Machine Learning books so you don’t need to write much of an intro. Reading it takes only a few days and gives you all the basics about Deep Learning.ģ. Pattern Recognition and Machine Learningīook Link: Pattern Recognition and Machine Learning This free online book is one the best and quickest introductions to Deep Learning out there. Cannot praise this book enough.īook Link: Neural Networks and Deep Learning ![]() A good introduction to the Mathematics, and also has practice material in R. Best introductory book to Machine Learning theory. ![]()
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