Snowflake simplifies the process of providing all the relevant data to your machine learning model, regardless of the tool or platform used to train and test the model. Whether you are working on a self-hosted Jupyter Notebook or an enterprise ML platform, making relevant data instantly accessible to your model can be a breeze when using Snowflake’s native Python, Spark, and R connectors.

Attend this webinar to learn how to:

  • Use Pandas DataFrames with the Snowflake Connector for Python
  • Use advanced features in the Snowflake Connector for Spark
  • Use Snowflake with R in your favorite IDE

 

This webinar is part of a two-part training series covering best practices for utilising key features that can significantly speed up your data science and machine learning workflows. Click here to register for Part II of the series.

Sprecher
  • Michael Gregory

    Field CTO for Data Science and ML, Snowflake

  • Chase Ginther

    Field CTO for Data Science and ML, Snowflake

  • Rishu Saxena

    Field CTO for Data Science and ML, Snowflake

SAVE YOUR SEAT