Massively scalable machine learning on Spark with Synapse ML

Massively scalable machine learning on Spark with Synapse ML

SynapseML (Previously MMLSpark) is an open-source library, aiming to simplify the creation of massively scalable machine learning pipelines. Composing tools from different ecosystems often requires considerable “glue” code, and many frameworks aren’t designed with thousand-machine elastic clusters in mind. SynapseML resolves this challenge by unifying several existing ML frameworks and new Microsoft algorithms in a single, scalable API that’s usable across Python, R, Scala, and Java. This session will provide an overview of these features, a demonstration, and resources to learn more.

Session Type: Breakouts – 60 mins (Including Q&A)

Track: Data Science (AI/ML)

Level: Intermediate

Delivery Language: English