Apache Spark for Machine Learning on Large Data Sets
Apache Spark is a general purpose distributed computing framework for distributed data processing. With MLlib, Spark's machine learning library, fitting a model to a huge data set becomes very easy. Similarly, Spark's general purpose functionality enables application of a model across a large collection of observations. We'll walk through fitting a model to a big data set using MLlib and applying a trained scikit-learn model to a large data set.
Outline/structure of the Session
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Learning Outcome
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Target Audience
TBA
Comments
G'day Juliet, if we can see some sort of draft outline or even topic synopsis this week, that would be awesome.