613: Causal Machine Learning
Super Data Science: ML & AI Podcast with Jon Krohn
00:00
Evolution of Microsoft and Introduction to Causal Machine Learning
The chapter delves into the transformation of Microsoft over time while maintaining its core values. It also introduces the concept of causal machine learning, explaining how it differs from traditional machine learning by focusing on cause and effect relationships with the integration of domain knowledge and causal assumptions. The discussion highlights the growing convergence of various fields towards causal methods and the importance of encoding assumptions for reasoning over causality in machine learning.
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