[MapR Talk] Practical Machine Learning: How To Decide What Really Matters

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

Big data is beginning to make a big difference when it comes to building machine learning systems. Moreover, many of the methods for building these systems don’t require years of study before you can apply them. In this talk, I will present examples of key principles that really matter in making choices about data, algorithms and architecture when you build practical learning systems.

 

KEYWORDS: Machine Learning, Data Analytics, Algorithms

 

Location Availability & Request Link

North America. Please refer to theMapR Talks Directory  for specific countries.

You can request this talk here: Speaker Request

 

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