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.
Target Audience
Anyone interested in machine learning and using Apache Spark and MLib.
Comments
G'day Juliet, if we can see some sort of draft outline or even topic synopsis this week, that would be awesome.