Applied Machine Learning ((3 Units))

Catalog description

Prerequisite: Admission to a Computer Science Master's program or permission. This course introduces the fundamentals of machine learning and concepts of deep learning. Topics include machine learning concepts, tasks, and workflow; supervised learning methods for classification and prediction; unsupervised learning methods for pattern recognition; deep learning algorithms such as neural networks and convolutional neural networks. (Formerly 3460:536)