Join an interactive and example-driven exploration showcasing computational capabilities of the Wolfram Language in the fields of machine learning and classical statistics. This presentation demonstrates how the powerful symbolic nature of the Wolfram Language makes the handling of statistical distributions simple, how automation can play a part in making machine learning accessible and how the two fields together can allow the utilization of some powerful and flexible tools.

These topics, alongside some simple deployment options, show how Wolfram is currently handling the topic of data science with a truly multiparadigm approach. The goal is to show how anyone with a basic knowledge of coding and an interest in the concepts can take the Multiparadigm Data Science toolset and get insight out of nearly any dataset.
Kareem Ahmed
Technical Consultant