Machine Learning and Artificial Intelligence

Catalog description

This course provides an in-depth treatment of major ideas and breakthroughs in Machine Learning and Artificial Intelligence with a focus on gaining business insight from large scale text and image data. Students will learn how to use open-source libraries to implement complex statistical and computational learning concepts used to train large neural networks. Students will learn the fundamentals of convolutional and recurrent neural networks, and how to successfully train them in practice for making predictions. Topics include loss functions, network architecture, activation functions, open-source libraries for training neural networks, transfer learning, transformers and generative artificial intelligence. Applications include extracting knowledge from image and text data to solve real world business problems in computer vision and natural language processing. The emphasis is on using programing and large data sets to illustrate key ideas in machine learning and artificial intelligence.Students who have taken STA 4920 cannot take STA 4950.STA 4950 can substitute STA 4920 in the F-replacement policy.