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Jon Krohn speaks with Erin LeDell, H2O.ai\u2019s 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\u2019s group Women in Machine Learning & Data Science is doing to increase inclusivity and representation in the field.\nThis episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.\nIn this episode you will learn:\u2022 The H2O AutoML platform Erin developed [07:43]\u2022 How genetic algorithms work [19:17]\u2022 Why you should consider using AutoML? [28:15]\u2022 The \u201cNo Free Lunch Theorem\u201d [33:45]\u2022 What Admissible Machine Learning is [37:59]\u2022 What motivated Erin to found R-Ladies Global and Women in Machine Learning and Data Science [47:00]\u2022 How to address bias in datasets [57:03]\nAdditional materials: www.superdatascience.com/627