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Probabilistic Graphical Models: Principles and Techniques

Probabilistic Graphical Models: Principles and Techniques

Daphne Koller & Nir Friedman

Statistical Rethinking: A Bayesian Course With Examples in R and STAN

Statistical Rethinking: A Bayesian Course With Examples in R ...

Richard McElreath

Bayesian Data Analysis

Bayesian Data Analysis

Andrew Gelman

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Stefano V. Albrecht & Filippos Christianos & Lukas Schäfer

Category: inference

Information Theory, Inference and Learning Algorithms

Information Theory, Inference and Learning Algorithms

David J. C. MacKay

Information Theory, Inference and Learning Algorithms

Information Theory, Inference and Learning Algorithms

David J. C. MacKay

Computer Vision: Models, Learning, and Inference

Computer Vision: Models, Learning, and Inference

Simon J. D. Prince

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