May 2019
Intermediate to advanced
162 pages
4h 24m
English
Content preview from Supervised Machine Learning with Python
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Summary
Transfer learning is a flexible concept that'll allow you to stack networks together to accomplish far more complex tasks than you thought possible. We covered recommender systems and collaborative filtering in particular, and then we looked at matrix factorization techniques and how to supplement your recommenders with content-based similarities. Lastly, we worked with neural networks and transfer learning.
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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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.