Probabilistic Graphical Fashions Specialization

SKILLS YOU WILL GAIN

• Inference
• Bayesian Community
• Perception Propagation
• Graphical Mannequin
• Markov Random Discipline
• Gibbs Sampling
• Markov Chain Monte Carlo (MCMC)
• Algorithms
• Expectation–Maximization (EM) Algorithm

About this Specialization

Probabilistic graphical fashions (PGMs) are a wealthy framework for encoding chance distributions over complicated domains: joint (multivariate) distributions over massive numbers of random variables that work together with one another. These representations sit on the intersection of statistics and laptop science, counting on ideas from chance concept, graph algorithms, machine studying, and extra. They’re the idea for the state-of-the-art strategies in all kinds of functions, comparable to medical analysis, picture understanding, speech recognition, pure language processing, and lots of, many extra. They’re additionally a foundational software in formulating many machine studying issues.

Utilized Studying Venture

By way of numerous lectures, quizzes, programming assignments and exams, learners on this specialization will observe and grasp the basics of probabilistic graphical fashions. This specialization has three five-week programs for a complete of fifteen weeks.