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Machine Learning Yearning book by ๐Ÿ…ฐ๏ธ๐“ท๐“ญ๐“ป๐“ฎ๐”€ ๐Ÿ†–

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Machine Learning Yearning  Tweet  license  GitHub issues  Contributions

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

Author : ๐Ÿ…ฐ๏ธ๐“ท๐“ญ๐“ป๐“ฎ๐”€ ๐Ÿ†–

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

0๏ธโƒฃ0๏ธโƒฃ Full Book

0๏ธโƒฃ1๏ธโƒฃ Chapters 1 to 14

0๏ธโƒฃ2๏ธโƒฃ Chapters 15 to 19

0๏ธโƒฃ3๏ธโƒฃ Chapters 20 to 22

0๏ธโƒฃ4๏ธโƒฃ Chapters 23 to 27

0๏ธโƒฃ5๏ธโƒฃ Chapters 28 to 30

0๏ธโƒฃ6๏ธโƒฃ Chapters 31 to 32

0๏ธโƒฃ7๏ธโƒฃ Chapters 33 to 35

0๏ธโƒฃ8๏ธโƒฃ Chapters 36 to 39

0๏ธโƒฃ9๏ธโƒฃ Chapters 40 to 43

1๏ธโƒฃ0๏ธโƒฃ Chapters 44 to 46

1๏ธโƒฃ1๏ธโƒฃ Chapters 47 to 49

1๏ธโƒฃ2๏ธโƒฃ Chapters 50 to 52

1๏ธโƒฃ3๏ธโƒฃ Chapters 53 to 58