Machine Learning

Catalog description

This course delves into fundamental algorithmic and statistical concepts in machine learning, which are essential for understanding and applying machine learning techniques effectively. Machine learning tools have become pervasive across various scientific disciplines, including engineering, computer vision, and biology. This class introduces key mathematical models, algorithms, and statistical tools necessary for performing fundamental tasks in machine learning. Programming examples on diverse datasets are used to illustrate the practical applications of these concepts.