Probabilistic Graphical Models: Principles and Techniques
A Technical, Computer Science, Reference book. textbook by Stanford University professor, same author is currently teaching http://www.coursera.orga course with full online video of every...
Most tasks require a person or an automated system to reason—to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most...
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More About Probabilistic Graphical Models: Principles and Techniques
textbook by Stanford University professor, same author is currently teaching http://www.coursera.orga course with full online video of every classroom lecture with graded homework + tests same as Stanford students - I'm taking this course - Woo Hoo Read this as part of a coursera course given by Daphne Koller. Comprehensive introduction to techniques and methodology used to practically use PGMs. graphical models are yet another topic I should probably know something about
