Maneesh Bhide

Solutions Architect, Databricks

Past sessions

Building on the "Best Practices for Hyperparameter Tuning with MLflow" talk, we will present advanced topics in HPO for deep learning, including early stopping, multi-metric optimization, and robust optimization. We will then discuss implementations using open source tools. Finally, we will discuss how we can leverage MLflow with these tools and techniques to analyze the performance of our models.