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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

Detecting Dark Matter - The Higgs-Boson Particle

True or false? Positive or negative? Pass or no pass? User clicks on the ad versus not clicking the ad? If you've ever asked/encountered these questions before then you are already familiar with the concept of binary classification.

At it's core, binary classification - also referred to as binomial classification - attempts to categorize a set of elements into two distinct groups using a classification rule, which in our case, can be a machine learning algorithm. This chapter shows how to deal with it in the context of Spark and big data. We are going to explain and demonstrate:

  • Spark MLlib models for binary classification including decision trees, random forest, and the gradient boosted machine ...
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Publisher Resources

ISBN: 9781785283451