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Using Apache Spark for Machine Learning - Part 3

Christoph Champ
|
January 10, 2018
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Posted In:
Resource Posts

This post will continue from where Part 2 of this series on Machine Learning left off from (see: "Using Apache Spark for Machine Learning – Part 2").

In this third post of this Apache Spark for Machine Learning series, we are starting to see the power of Apache Spark and how relatively simple Python code in just a few lines can make some powerful predictions on complex datasets using Machine Learning with a relatively simple algorithm (I.e., Naive Bayes). We will continue this series on Apache Spark for Machine Learning with more interesting (and real-world) examples using progressively more complex datasets and algorithms. 

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