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Recommennded Readings. Required Textbook: (“PGM”) Probabilistic Graphical Models: Principles and Techniques by Daphne Koller and Nir Friedman. MIT Press. Course CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign - machine-learning-uiuc/Probabilistic Graphical Models - Principles and Graphical models, exponential families, and variational inference by Martin J. Wainwright and Michael I. Jordan.pdf · Modeling and Reasoning with Bayesian. arXiv:1609.02907, 2016. arxiv.org/pdf/1609.02907.pdf S. Kirkpatrick, C. Gelatt, Probabilistic graphical models: principles and techniques.This is a graduate level course that presents fundamental tools of statistical inference, probabilistic graphical models and generative models for machine The course heavily follows Daphne Koller's book Probabilistic Graphical Models: Principles and Techniques by Daphne Koller and Nir Friedman.,