MBAI 5310G - Artificial Intelligence Programming

Students will learn to program a computer system to make predictions on, classify, or cluster data that the system has never seen before. Topics include theory and practice of supervised and unsupervised learning such as reinforcement learning, covering well-known algorithms such as linear regression, Naïve Bayes, support vector machines, ensemble methods, K-means, and convolutional and recurrent neural networks. The course uses the Python programming language with TensorFlow and Keras.
Credit hours: 3
Prerequisite(s): MBAI 5300G