CSCI 4336 - Introduction to Machine Learning

Credit Hours: 3 Lecture: 3 Lab: 0

Fee Type: Special
Fee ($): 40

Introduction to concepts of machine learning: elements of probability distributions and linear algebra, supervised and unsupervised learning, linear and nonlinear regression, classification, neural networks, support vector machines, sampling methods, K-Means clustering, principal component analysis, Bayesian networks, and reinforcement learning. Applicability of each technique will be discussed. Students who receive credit for CSCI 5336 will not receive credit for this course.

Prerequisites: CSCI 2315 or CSCI 2305