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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.\n\nIn this episode you will learn:\n\nWhat is interpretable machine learning? [8:41]\n\nThe social and financial ramifications of interpreting models incorrectly [10:23]\n\nThe challenges involved in interpretable ML [16:00]\n\nThe most important interpretable ML concepts to master [19:54]\n\nThe future of Interpretable ML [32:41]\n\nWhat it\u2019s like to be a Climate & Agronomic Data Scientist [42:28]\n\nSerg\u2019s day-to-day tools [49:05]\n\nSerg's productivity tips [50:25]\n\nWhy Serg pursued a Master's in Data Science [52:25]\n\n\nAdditional materials: www.superdatascience.com/539