Super Data Science: ML & AI Podcast with Jon Krohn

627: AutoML: Automated Machine Learning

11.15.2022 - By Jon KrohnPlay

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Jon Krohn speaks with Erin LeDell, H2O.ai’s Chief Machine Learning Scientist. They investigate how AutoML supercharges the data science process, the importance of admissible machine learning for an equitable data-driven future, and what Erin’s group Women in Machine Learning & Data Science is doing to increase inclusivity and representation in the field.

This episode is brought to you by Datalore (https://datalore.online/SDS), the collaborative data science platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:

• The H2O AutoML platform Erin developed [07:43]

• How genetic algorithms work [19:17]

• Why you should consider using AutoML? [28:15]

• The “No Free Lunch Theorem” [33:45]

• What Admissible Machine Learning is [37:59]

• What motivated Erin to found R-Ladies Global and Women in Machine Learning and Data Science [47:00]

• How to address bias in datasets [57:03]

Additional materials: www.superdatascience.com/627

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