August 2018
Intermediate to advanced
522 pages
12h 45m
English
Content preview from Machine Learning Algorithms - Second Edition
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ALS with Apache Spark MLlib
Apache Spark is beyond the scope of this book, so if you want to know more about this powerful framework, I suggest you read the online documentation or one of the many books available. In Machine Learning with Spark, Pentreath N, Packt Publishing, there's an interesting introduction to the Machine Learning Library (MLlib) and how to implement most of the algorithms discussed in this book.
Spark is a parallel computational engine that is now part of the Hadoop project (even if it doesn't use its code), which can run in local mode or on very large clusters (with thousands of nodes) to execute complex tasks using huge amounts of data. It's mainly based on Scala, though there are interfaces for Java, Python, and R. ...
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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.