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Mastering Machine Learning with Spark 2.x
book

Mastering Machine Learning with Spark 2.x

by Alex Tellez, Max Pumperla, Michal Malohlava
August 2017
Beginner to intermediate
340 pages
8h 42m
English
Packt Publishing
Content preview from Mastering Machine Learning with Spark 2.x

Inside the box

So, you have downloaded the latest version of Spark (depending on how you plan on launching Spark) and you have run the standard Hello, World! example....what now?!

Spark comes equipped with five libraries, which can be used separately--or in unison--depending on the task we are trying to solve. Note that in this book, we plan on using a variety of different libraries, all within the same application so that you will have the maximum exposure to the Spark platform and better understand the benefits (and limitations) of each library. These five libraries are as follows:

  • Core: This is the Spark core infrastructure, providing primitives to represent and store data called Resilient Distributed Dataset (RDDs) and manipulate data ...
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Publisher Resources

ISBN: 9781785283451