627: AutoML: Automated Machine Learning — with Erin LeDell

Описание: #AutoMLH2O #AutoML #WiMLDS

 @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 https://www.jonkrohn.com/podcast for sponsorship information.

In this episode you will learn:
• [00:00:00] H2O.ai and Erin's role as a Chief Machine Learning Scientist
• [00:05:53] The H2O AutoML platform Erin developed
• [00:17:25] How genetic algorithms work
• [00:26:23] Why you should consider using AutoML?
• [00:31:55] The “No Free Lunch Theorem”
• [00:36:09] What Admissible Machine Learning is
• [00:45:10] What motivated Erin to found R-Ladies Global and Women in Machine Learning and Data Science
• [00:55:13] How to address bias in datasets

Additional materials: https://www.superdatascience.com/627