/machine-learning-yearning

Machine Learning Yearning book by 🅰️𝓷𝓭𝓻𝓮𝔀 🆖

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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

0️⃣0️⃣ Full Book

0️⃣1️⃣ Chapters 1 to 14

0️⃣2️⃣ Chapters 15 to 19

0️⃣3️⃣ Chapters 20 to 22

0️⃣4️⃣ Chapters 23 to 27

0️⃣5️⃣ Chapters 28 to 30

0️⃣6️⃣ Chapters 31 to 32

0️⃣7️⃣ Chapters 33 to 35

0️⃣8️⃣ Chapters 36 to 39

0️⃣9️⃣ Chapters 40 to 43

1️⃣0️⃣ Chapters 44 to 46

1️⃣1️⃣ Chapters 47 to 49

1️⃣2️⃣ Chapters 50 to 52

1️⃣3️⃣ Chapters 53 to 58