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

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“What did the council decide on item 42?” — answered with the speaker and the moment.

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