DSE 220. Machine Learning (4 units)
Link to catalog page: https://catalog.ucsd.edu/courses/MAS.html#dse220
Description
This course provides a broad introduction to the practical side of machine learning and data analysis. The topics covered in this class include topics in supervised learning, such as k-nearest neighbor classifiers, decision trees, boosting and perceptrons, and topics in unsupervised learning, such as k-means, PCA, and Gaussian mixture models.
Prerequisite courses
DSE 220 has no prerequisite courses.
Successor courses
No courses have DSE 220 as a prerequisite.