End-to-End Machine Learning with Snowflake Notebooks

Caleb Baechtold, Principal Architect AI/ML at Snowflake, demonstrates how to build end-to-end machine learning pipelines using SnowparkML and the brand new Snowflake Notebook (currently in Private Preview).

Snowflake Notebooks provide a native development experience directly in the Snowsight UI. Notebooks allow analysts, data scientists, and data engineers to streamline their workflows, develop AI/ML models out of the box with direct access to flexible, distributed compute, and accelerate moving from prototype to production across teams, all directly in the Snowflake platform. Machine learning practitioners in particular can benefit from how easy it is to get started processing data, building models, and deploying to production all natively in Snowflake using Snowflake Notebooks.

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