Snowpark’s libraries and runtimes securely deploy and process Python code in Snowflake for AI and machine learning (ML) workloads. One of the libraries that was announced recently into public preview is the Snowpark ML Modeling API, which scales out feature engineering and simplifies ML training execution. One of the easiest ways to get started with the Snowpark ML library is with Hex’s data science notebooks that are integrated directly with Snowflake.

Join this Ask Me Anything (AMA) session with Michael Gorkow from Snowflake and Armin Efendic from Hex to learn and ask questions about how to use Snowpark ML with Hex for faster and more intuitive end-to-end ML development in Snowflake.

Key topics include:

  • Overview of Snowpark ML for feature engineering and ML training
  • Introduction to Hex notebooks with Snowpark
  • Open Q&A with experts
  • Simran Khara

    Architect, Machine Learning Field CTO

  • Dash Desai

    Lead Developer Advocate

  • Armin Efendic

    Partner Engineer