Serg Masis on interpretable machine learning, process fairness vs statistical fairness, how to measure interpretability, how to interpret neural networks, how to increase the interpretability of a mod
Serg Masis is a Data Scientist in agriculture with a background in entrepreneurship and web/app development. He's the author of the book "Interpretable Machine Learning with Python". In addition to ML interpretability, he's passionate about explainable AI, behavioral economics, and ethical AI. In this episode, we cover a range of topics including: - How did he get into machine learning? - What is interpretable ML? - What is post hoc interpretability? - Process fairness vs statistical fairnes...