In the final episode of our Azure ML series, we’re joined by Erez Barak, Partner Group Manager of Azure ML at Microsoft. In our conversation, we discuss: Erez’s AutoML philosophy, including how he defines “true AutoML” and his take on the AutoML space, its role and its importance. We also discuss in great detail the application of AutoML as a contributor to the end-to-end data science process, which Erez breaks down into 3 key areas; Featurization, Learner/Model Selection, and Tuning/Optimizing Hyperparameters. Finally, we discuss post-deployment AutoML use cases and other areas under the AutoML umbrella that are currently generating excitement. Check out the complete show notes at twimlai.com/talk/323!