Probability in EECS Jean Walrand EECS UC Berkeley
Probability in EECS Jean Walrand – EECS – UC Berkeley Review
Panorama MODELS APPLICATIONS COURSES Random Vectors Comm. , regression, clustering, compressed sensing, recommendation systems, … EE 121(Comm) EE 229(IT) CS 194, 294 Markov Chains, Semi. MP, Controlled MC Operations research, Networks, EE 228 (Nets) Hidden MC Speech, Coding, … EE 121, 224 Random Graphs Social networks, … EE 228, IEOR 266 Graphical Models (e. g. , Bayesian Nets) Detection (Belief Propagation) CS 281, STAT 241 Interacting Particles Physics, epidemics, rumors, advertising, … STAT C 206 Diffusions Finance, Control Randomized Algorithms Search, Optimization, … CS 194 Games: static, dynamic Strategies STAT 155, ECON 209
Final Review Probability
Final Review Random Variables
Final Review Detection
Final Review Estimation
Final Review Markov Chains
Final Review LQG; Kalman Filter
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