Causal Data Science: Graphical Models, Exchangeable Models and Graphons
On 14 Apr, 2022 By admin 0 Comments
DSA ADS Course - 2022
Graphical Models, Bayesian Networks, Applied Probability, Probabilistic Causation, Causal Inference
Applied data scientists require high-level understanding of probability theory and specialized techniques to design systems and solve problems in the real world. Graphical model formalism provides a natural framework for the design of new data science systems.
Flow-based Attribution in Graphical Models: A Recursive Shapley Approach (Online Supplement)