Probabilistic Graphical Models's Full Profile
This graduate-level course covers the essentials of probabilistic graphical models and their applications: the representation of Bayesian and Markov networks; exact and approximate inference in these networks; and parameter and structure learning.
Apr 01, 2013
to Apr 01, 2013
- Level of Difficulty: Beginner
- Size: Massive Open Online Course
- Instructor: Daphne Koller
- Institution: Coursera
- Topics: Machine Learning
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