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.

Prerequisites: CSCI 2315.