January 2016
Intermediate to advanced
416 pages
8h 54m
English
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References
The best reference is the online documentation, including:
- The pipeline API: http://spark.apache.org/docs/latest/ml-features.html
- A full list of transformers: http://spark.apache.org/docs/latest/mllib-guide.html#sparkml-high-level-apis-for-ml-pipelines
Advanced Analytics with Spark, by Sandy Ryza, Uri Laserson, Sean Owen and Josh Wills provides a detailed and up-to-date introduction to machine learning with Spark.
There are several books that introduce machine learning in more detail than we can here. We have mentioned The Elements of Statistical Learning, by Friedman, Tibshirani and Hastie several times in this book. It is one of the most complete introductions to the mathematical underpinnings of machine learning currently available. ...
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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.