Probabilistic Systems Analysis and Applied Probability (MIT 6.041SC)
by John Tsitsiklis · MIT OpenCourseWare
Modeling and analysis of uncertainty: probability models, discrete and continuous random variables, Bayesian inference, limit theorems and random processes. Designed for independent study, with lecture videos, slides, recitation and tutorial problems, problem sets and exams with solutions, and TA problem-solving videos.
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