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In this episode, Serg Mas\xeds joins the podcast to share his in-depth technical knowledge of Interpretable Machine Learning. Together they discuss why this field matters, how it\u2019s evolving, and so much more.\nIn this episode you will learn:\u2022 What is interpretable machine learning? [8:41]\u2022 The social and financial ramifications of interpreting models incorrectly [10:23]\u2022 The challenges involved in interpretable ML [16:00]\u2022 The most important interpretable ML concepts to master [19:54]\u2022 The future of Interpretable ML [32:41]\u2022 What it\u2019s like to be a Climate & Agronomic Data Scientist [42:28]\u2022 Serg\u2019s day-to-day tools [49:05]\u2022 Serg's productivity tips [50:25]\u2022 Why Serg pursued a Master's in Data Science [52:25]\nAdditional materials: www.superdatascience.com/539