July 2018
Intermediate to advanced
272 pages
9h 21m
English
Content preview from Pragmatic AI: An Introduction to Cloud-Based Machine Learning, First Edition
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B
Deciding on Cluster Size
There are many examples of k-means clustering in this book. One of the most commonly asked questions about these is how many clusters should be made. There is no correct answer because clustering is the process of creating labels, and two domain experts may use their judgments differently.
In Figure B.1, I created a cluster of the 2013−2014 NBA season stats, and I labeled the eight clusters by descriptions I thought were useful. Another NBA expert may have created fewer or more clusters.
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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.