Data Brew
Season 2, Episode 6

AutoML

Erin LeDell shares valuable insight on AutoML, what problems are best solved by it, its current limitations, and her thoughts on the future of AutoML. We also discuss founding and growing the Women in Machine Learning and Data Science (WiMLDS) non-profit.

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Guest


Erin LeDell

Erin LeDell is the Chief Machine Learning Scientist at H2O.ai, the company that produces the open source, distributed machine learning platform, H2O. At H2O.ai, she leads the H2O AutoML project and her current research focus is automated machine learning. She has a Ph.D. in Biostatistics with a Designated Emphasis in Computational Science and Engineering from University of California, Berkeley and a B.S/M.A. in Mathematics. Before joining H2O.ai, she was the Principal Data Scientist at Wise.io and Marvin Mobile Security, and the founder of DataScientific, Inc. She is also founder of the Women in Machine Learning and Data Science (WiMLDS) organization (wimlds.org) and co-founder of R-Ladies Global (rladies.org).

Denny LeePlayPlay hover00:06

Welcome to Data Brew by Databricks with Denny and Brooke, the series allows us to explore various topics in the data and AI community. Whether we’re talking about data engineering or data science, we will interview subject matter experts to dive deeper into these topics. And while we’re at it, we’ll be enjoying our morning brew. My name is Denny Lee, and I’m a developer advocate here at Databricks. And one of the co-hosts of Data Brew.

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