Machine Learning Yearning        

Technical Strategy for AI Engineers, In the Era of Deep Learning

Author : 🅰️𝓷𝓭𝓻𝓮𝔀 🆖

About

The book has been divided into 13 parts originally by Prof. Andrew NG along with the complete book with all the parts consolidated. In this book you will learn how to align on ML strategies in a team setting, as well as how to set up development (dev) sets and test sets. Recommendations for how to set up dev/test sets have been changing as Machine Learning is moving toward bigger datasets, and this explains how you should do it for modern ML projects.

Contents

:zero::zero: Full Book

:zero::one: Chapters 1 to 14

:zero::two: Chapters 15 to 19

:zero::three: Chapters 20 to 22

:zero::four: Chapters 23 to 27

:zero::five: Chapters 28 to 30

:zero::six: Chapters 31 to 32

:zero::seven: Chapters 33 to 35

:zero::eight: Chapters 36 to 39

:zero::nine: Chapters 40 to 43

:one::zero: Chapters 44 to 46

:one::one: Chapters 47 to 49

:one::two: Chapters 50 to 52

:one::three: Chapters 53 to 58