Transfers ToCSUDescriptionA hands-on introduction to Machine Learning. Topics include: Supervised learning, including classification, and regression techniques; Unsupervised learning, including density estimation, clustering, and dimensionality reduction techniques; Reinforcement learning. The course includes hands-on exercises and projects, in which students will learn how to apply the Machine Learning algorithms to real world problems in fields of computer vision and natural language understanding. 