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Pattern Recognition and Machine Learning

Pattern Recognition and Machine Learning

Christopher M. Bishop

Writing Well and Being Well for Your PhD and Beyond: How to Cultivate a Strong and Sustainable Writing Practice for Life

Writing Well and Being Well for Your PhD and Beyond: How to ...

Katherine Firth

How to Prove It: A Structured Approach

How to Prove It: A Structured Approach

Daniel J. Velleman

Proximal Algorithms

Proximal Algorithms

Neal Parikh & Stephen P. Boyd & Now Publishers

Category: bayesian

Probabilistic Graphical Models: Principles and Techniques

Probabilistic Graphical Models: Principles and Techniques

Daphne Koller & Nir Friedman

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

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

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

Richard McElreath

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