AI News, Intro to Machine Learning with H2O and Python

Intro to Machine Learning with H2O and Python

This workshop will provide an overview of how to use H2O, the scalable open source machine learning library, from Python/R/Flow UI.

All of H2O's algorithm implementations are distributed, which allows the software to scale to large datasets that may not fit into RAM on a single machine.

In this workshop, attendees will learn how to train machine learning models, cross-validation, and evaluate model performance using the H2O Python and R API.

In addition to the front-end interfaces, Spencer also helps to maintain the lower-level distributed big data frame operations that these interfaces depend upon.

Tom served as the technical leader for the distributed management application team, appliance security and tools for distributed debugging.

All of H2O's algorithm implementations are distributed, which allows the software to scale to large datasets that may not fit into RAM on a single machine.

In this workshop, attendees will learn how to train machine learning models, cross-validation, and evaluate model performance using the H2O Python and R API.

In addition to the front-end interfaces, Spencer also helps to maintain the lower-level distributed big data frame operations that these interfaces depend upon.

Tom served as the technical leader for the distributed management application team, appliance security and tools for distributed debugging.

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