Foundations of causal inference and its impacts on machine learning webinar

Microsoft Research · Dec 03, 2020
The fundamentals of causal inference are discussed and how causal methods can be useful to improve machine learning models of their generalizability, explainability, fairness, and robustness.
UCLA Molecular, Cell & Developmental Biology "Women in Science"
UCLA Molecular, Cell & Developmental Biology "Women in Science"
Science Communication and Trust in Science
Science Communication and Trust in Science
Developing the Right Skills for Your Scientific Career with Dr. Cynthia Fuhrmann and Dr. Ann Stock
Developing the Right Skills for Your Scientific Career with Dr. Cynthia Fuhrmann and Dr. Ann Stock
The Journey to Digital centric Chemicals and Materials Laboratories
The Journey to Digital centric Chemicals and Materials Laboratories

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