We’ll take a hands-on dive into implementing the 1st level of MLOps maturity and performing continuous training of the model by automating our ML pipeline. We’ll start with the ML pipeline and see how we can detect performance degradation and data drift in order to trigger the pipeline and create a new model based on fresh data.

November 22nd, 2022 | 10:00 AM EST

Workshop: A Guide to Putting Together a Continuous ML Stack