539: Interpretable Machine Learning — with Serg Masís

In this episode, Serg Masís joins the podcast to share his in-depth technical knowledge of Interpretable Machine Learning. Together they discuss why this field matters, how it’s evolving, and so much more.

An episode of the Super Data Science: ML & AI Podcast with Jon Krohn podcast, hosted by Jon Krohn, titled "539: Interpretable Machine Learning — with Serg Masís" was published on January 11, 2022 and runs 61 minutes.

January 11, 2022 ·61m · Super Data Science: ML & AI Podcast with Jon Krohn

Summary

In this episode, Serg Masís joins the podcast to share his in-depth technical knowledge of Interpretable Machine Learning. Together they discuss why this field matters, how it’s evolving, and so much more. In this episode you will learn: What is interpretable machine learning? [8:41] The social and financial ramifications of interpreting models incorrectly [10:23] The challenges involved in interpretable ML [16:00] The most important interpretable ML concepts to master [19:54] The future of Interpretable ML [32:41] What it’s like to be a Climate & Agronomic Data Scientist [42:28] Serg’s day-to-day tools [49:05] Serg's productivity tips [50:25] Why Serg pursued a Master's in Data Science [52:25] Additional materials: www.superdatascience.com/539

Episode Description