AI_V 360 - T2C

Advanced machine learning focused on deep learning in practice: mathematical foundations, models for unstructured, sequential, spatial, and graph data, methods for prediction, generative modeling, and reinforcement learning, and hands-on experience designing, optimizing, tuning, and applying deep models. [3-0-1] Prerequisites: Either CPSC_V 340 or all of (a) one of AI_V 240, CPEN_V 355 and (b) MATH_V 200 and (c) one of STAT_V 251, ECON_V 325, ECON_V 327, MATH_V 302, STAT_V 302, MATH_V 318.