DSE 3010 - Machine Learning for Data Science

Credits: 4

This course will review the different types of machine learning, examine the history and present-day usage of neural networks, and introduce students to neural network tools in the Python scikit-learn library and PyTorch. Students will use Python to implement single- and multi-layer neural network models to solve supervised and unsupervised learning problems.
Prerequisite(s): DSE 1002 and CSC 1611