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Listen "Data Brew Season 2 Episode 7: Interpretable Machine Learning"
Episode Synopsis
For our second season of Data Brew, we will be focusing on machine learning, from research to production. We will interview folks in academia and industry to discuss topics such as data ethics, production-grade infrastructure for ML, hyperparameter tuning, AutoML, and many more.What does it mean for a model to be “interpretable”? Ameet Talwalkar shares his thoughts on IML (Interpretable Machine Learning), how it relates to data privacy and fairness, and his research in this field.See more at databricks.com/data-brew
More episodes of the podcast Data Brew by Databricks
Multimodal AI | Data Brew | Episode 42
07/04/2025
Age of Agents | Data Brew | Episode 41
27/03/2025
Reward Models | Data Brew | Episode 40
20/03/2025
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