April 2017
Intermediate to advanced
532 pages
12h 39m
English
book
Machine Learning with Spark - Second Edition
by Rajdeep Dua, Brian O'Neill, Stephen Boesch, Manpreet Singh Ghotra, Nick Pentreath
Content preview from Machine Learning with Spark - Second Edition
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Spark MLlib
Apache Spark is an open-source platform for large dataset processing. It is well suited for iterative machine learning tasks as it leverages in-memory data structures such as RDDs. MLlib is Spark's machine learning library. MLlib provides functionality for various learning algorithms-supervised and unsupervised. It includes various statistical and linear algebra optimizations. It is shipped along with Apache Spark and hence saves on installation headaches like some other libraries. MLlib supports several higher languages such as Scala, Java, Python and R. It also provides a high-level API to build machine-learning pipelines.
MLlib's integration with Spark has quite a few benefits. Spark is designed for iterative computation cycles; ...
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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.