Overview
Machine learning is a growing field at the intersection of probability, statistics, optimization, and computer science, which aims to develop algorithms for making predictions based on data. This course will cover foundational models and mathematics for machine learning, including statistical learning theory and neural networks with a project component.
Syllabus
Prerequisites
Math 461 or Stat 410 and one of CS 101 or 125 or equivalent.