Join an interactive and example-driven exploration showcasing computational capabilities of the Wolfram Language in the fields of machine learning and classical statistics.

Teacher: Kareem Ahmed

Kareem Ahmed is a technical consultant and certified instructor at Wolfram Research Europe. He has been working on consultancy projects developing solutions in the fields of data science and machine learning using the Wolfram Language and the Wolfram technology stack.

Statistics and Machine Learning: Better Together


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.
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Dates Location Price
31 March / 18:00h. online free