Machine learning in the warehouse with Python and Snowpark w/ Allan Campopiano (data scientist @ Deepnote)

As you move through the stages of data processing, you will likely encounter a mixture of different tools, languages, and environments while your datasets are frequently moved from client to server and back as models are trained, deployed, and retrained. This talk will examine an end-to-end ML pipeline that takes data through the requisite stages of data processing—using nothing but Snowpark and Deepnote—so you can seamlessly move from transformation to production.