December 2018
Intermediate to advanced
274 pages
7h 46m
English
Content preview from Machine Learning for Mobile
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Summary
In this chapter, we learned about what supervised learning is through a naive example and deep dived into concepts of supervised learning. We went through various supervised learning algorithms with practical examples and their application areas and then we started going through unsupervised learning with naive examples. We also covered the concepts of unsupervised learning and then we went through various unsupervised learning algorithms with practical examples and their application areas.
In the subsequent chapters, we will be solving mobile machine learning problems by using some of the supervised and unsupervised machine learning algorithms that we have gone through in this chapter. We will also be exposing you to mobile machine ...
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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.