August 2024
Intermediate to advanced
374 pages
8h 44m
English
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Chapter 4Optimize Everything
In the previous chapter, you read about the three pillars of machine learning math: linear algebra, probability, and vector calculus. Even so, you may not understand how they fit together to form the foundations of machine learning because you haven’t seen anything concrete. In this chapter, you’ll discover how these topics help to frame machine learning as an optimization problem, and more importantly, you’ll implement real techniques for solving that optimization problem.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.