CS 6600 - Machine Learning

Credits: (3)
Typically Taught Fall Semester: Full Sem
Introduction to fundamental principles and practical techniques of machine learning and its applications, including parametric and non-parametric algorithms, support vector machines, kernels, neural networks, clustering algorithms, dimensionality reduction, recommender systems, and deep learning. This course focuses on understanding and implementing the machine learning algorithms.
Pre-requisite(s): CS 3100.