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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Machine Learning Yearning book by ๐ ฐ๏ธ๐ท๐ญ๐ป๐ฎ๐ ๐
| Date | Stars |
|---|---|
| 2026-07-31 | 1149 |
| 2026-08-06 | 1149 |
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<p align="center"><img src="/images/mly.png"></p> # Machine Learning Yearning [](https://twitter.com/intent/tweet?text=Machine%20Learning%20Yearning%2C%20book%20by%20Andrew%20Ng%20&url=https://github.com/ajaymache/machine-learning-yearning&hashtags=machinelearning,ML,AI,deeplearning,andrewng,coursera,datascience)  [](https://github.com/ajaymache/travis-ci-with-github/issues)  #### Technical Strategy for AI Engineers, In the Era of Deep Learning Author : ๐ ฐ๏ธ๐ท๐ญ๐ป๐ฎ๐ ๐ ### 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](/full%20book/machine-learning-yearning.pdf) :zero::one: [Chapters 1 to 14](machine-learning-yearning-part1.pdf) :zero::two: [Chapters 15 to 19](machine-learning-yearning-part2.pdf) :zero::three: [Chapters 20 to 22](machine-learning-yearning-part3.pdf) :zero::four: [Chapters 23 to 27](machine-learning-yearning-part4.pdf) :zero::five: [Chapters 28 to 30](machine-learning-yearning-part5.pdf) :zero::six: [Chapters 31 to 32](machine-learning-yearning-part6.pdf) :zero::seven: [Chapters 33 to 35](machine-learning-yearning-part7.pdf) :zero::eight: [Chapters 36 to 39](machine-learning-yearning-part8.pdf) :zero::nine: [Chapters 40 to 43](machine-learning-yearning-part9.pdf) :one::zero: [Chapters 44 to 46](machine-learning-yearning-part10.pdf) :one::one: [Chapters 47 to 49](machine-learning-yearning-part11.pdf) :one::two: [Chapters 50 to 52](machine-learning-yearning-part12.pdf) :one::three: [Chapters 53 to 58](machine-learning-yearning-part13.pdf)
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matched fp:b937e063289ec3ce, topic:deep-learning