[MapR Talk] What makes machine learning easy to program and what makes it fast?

Document created by aalvarez Employee on Dec 1, 2015Last modified by aalvarez Employee on Dec 7, 2015
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Overview

In an effort to help grow organic communities interested in new technologies, MapR speakers around the world provide technical talks on numerous topics. Please browse our MapR Talks Directory  to learn how to search and request a talk in seconds.

 

Abstract

The new Mahout DSL has two aims. One, to make it easy to program distributed machine learning algorithms using a math-like notation for the programs. The secondary goal is to allow such programs to be fairly performant by allowing alternative back-end computational engines. The primary back-end for Mahout is currently Spark, but there is also work going on with the h2o system. I will talk about how these back-ends help achieve these two goals, with particular attention to how speed is achieved.

 

KEYWORDS: Machine Learning, Mahout, Scala, Spark

 

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