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Listen "Data Brew Season 2 Episode 4: Hyperparameter and Neural Architecture Search"
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.Liam Li is a leading researcher in the fields of hyperparameter optimization and neural architecture search, and is the author of the seminal Hyperband paper. In this session, Liam discusses the evolution of hyperparameter optimization techniques and illustrates how every data scientist can benefit from neural architecture search. See more at databricks.com/data-brew
More episodes of the podcast Data Brew by Databricks
Multimodal AI | Data Brew | Episode 42
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Age of Agents | Data Brew | Episode 41
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Reward Models | Data Brew | Episode 40
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