Data Brew Season 2 Episode 7: Interpretable Machine Learning
Data Brew by Databricks
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Scalability, Scalability and Automation Are Still Really Fundamental Bottlenecks in Machine Learning
Lam Backe has been working on machine learning since he was a Ph. D student at Berkeley in the early 2000s. His work is focused on scale, paralysm and automation. He says we need to make these tools easier for people to use. And interpret abilities are really important part of that equation.
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