Lecture
This lecture covers the concepts of statistical inference and machine learning, focusing on using support vector machines (SVMs) for spam classification. It includes a midterm project where students must implement SVMs with linear and Gaussian kernels to build a spam classifier. The lecture also delves into preprocessing emails, feature extraction, and training SVMs for spam classification.