Machine Learning and Pattern Recognition

This course is an introduction to the theoretical foundations of machine learning. A variety of classical and recent results in machine learning and statistical analysis are discussed, including: classification, regression, regularization, optimization, gradient descent, neural networks, convolutional networks, and reinforcement learning.