University of Arizona 3 credits Mathematics
Least squares problem. Unconstrained Optimization: gradient descent with backtracking, Newton method; constrained optimization: primal-dual Newton, interior point methods; linear programming. Inference and Learning Algorithms: sampling algorithms, Monte-Carlo method, importance sampling, stochastic optimization; regression, classification, clustering. Other topics as chosen by the instructor.
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