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
