Machine Learning with Apache Spark

Apache Spark, and its components Spark ML and MLlib in particular, offer a range of possibilities for machine learning on large data sets. Spark contains powerful algorithms for supervised and unsupervised learning, regression, classification and clustering, as well as methods for data transformation and preparation. I will give an overview of these algorithms and methods and examples of Apache Spark programs using them. Time permitting, the presentation will also inlucde live demos.