Students will understand and learn how to develop and use key machine learning algorithms.
The first part of the course focuses on supervised learning, in the parametric and nonparametric case as well, and covers computational and modeling issues.
The second part explores advanced topics like deep learning, unsupervised learning, variable selection, dictionary learning and manifold learning.
Associate Professor of Computer Science
Machine Learning and Learning Algorithms
Professor of Computer Science
- Outside Preparation