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Description:
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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! |