This course focuses on recommendation systems and reinforcement learning methods in machine learning. Topics include clustering, classification, exploration-exploitation dilemma, q-learning, reinforcement learning environments and hyperparameter tuning.
Prerequisites
CS 232 OR CS 225, MAT 140, MAT 150