Machine Learning: Fundamentals and Applications (AAI 510)

Course Description

Machine learning is an interdisciplinary field that combines techniques used to process big data at a high speed to make predictions or decisions without human intervention. Machine learning applications include business intelligence, biomedical systems, security, and automation. This class will introduce students to the fundamental concepts and algorithms for machine learning. We will learn supervised learning and unsupervised learning techniques such as hidden Markov models, support vector machines, clustering, and dimensionality reduction.

Units

3 units