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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

Next model – tree ensembles

Algorithms such as Random Forest (RF) or Gradient Boosted Machine (GBM) (also referred to as Gradient Boosted Trees) are two examples of ensemble tree-based models which are currently available in MLlib; you can think of an ensemble as an uber-model which represents a collection of base models. The best way to think about what an ensemble is doing behind the scenes is to consider a simple analogy:

"Suppose that you are the head coach of a famous soccer club and you have heard rumors of an incredible athlete from Brazil and it may be advantageous to sign this young athlete to your club before the other teams do; but your schedule is incredibly busy and instead, you send 10 of your assistant coaches to assess the ...

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Publisher Resources

ISBN: 9781785283451