Certificate in Artificial Intelligence and Intelligent Systems - Machine Learning CSCI 4155   Machine Learning
CREDIT HOURS: 3
This course focuses on the theory of learning machines, which are important techniques underlying data mining and many AI applications. The topics include supervised learning, in particular maximum likelihood estimation in stochastic model and probabilistic reasoning, ubiquitous learning machines such as support vector machines and deep neural networks; unsupervised learning which includes generative models, expectation maximization, and Boltzmann machines; and reinforcement learning including Markov decision processes and temporal difference learning. The course includes an introduction to a high level modeling language such as MATLAB or Python and refresher on probability theory and matrix algebra.
PREREQUISITES: CSCI 3151.03
EXCLUSIONS: CSCI 4150.03