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Machine Learning Yearning by Andrew Ng

AI, machine learning, and deep learning are transforming numerous industries. But building a machine learning system requires that you make practical decisions:

Should you collect more training data?
Should you use end-to-end deep learning?
How do you deal with your training set not matching your test set?
and many more.

Historically, the only way to learn how to make these strategy decisions has been a multi-year apprenticeship in a graduate program or company. This is a book to help you quickly gain this skill, so that you can become better at building AI systems.
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Published 10.03.2019

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Machine Learning: A Guide to Current Research

Your browser does not support inline frames or is currently configured not to display inline frames. Deep learning is making waves. Experts in the field of Artificial Intelligence thought we were 10 years away from achieving a victory against a top professional Go player, but progress seems to have accelerated! While deep learning is a complex subject, it is not any more difficult to learn than any other machine learning algorithm. I wrote this book to introduce you to the basics of neural networks. You will get along fine with undergraduate-level math and programming skill.

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