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