MATH480-01A Special Topics: Intro to Statistical Machine Learning (with Kourosh Zarringhalam)

MATH480-01A Special Topics: Intro to Statistical Machine Learning (with Kourosh Zarringhalam)

This special topics course will provide an introduction to methods in statistical machine learning that are commonly used to extract important patterns and information from data. Topics include: supervised and unsupervised learning algorithms such as generalized linear models for regression and classification, support vector machines, random forests, k-means clustering, principal component analysis, and the basics of neural networks. Model selection, cross-validation, regularization, and statistical model assessment will also be discussed. The topics and their applications will be illustrated using the statistical programing language R in a practical, example/project oriented manner.





Day(s) and Time(s):

May 26-Jul 9
MTuWTh: 11:45a-1:15p


Registration for Summer Session I is closed.
Class Number:3522_Smr2020
Your Price*: $1,050.00

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Remote: Courses that are typically taught face-to-face will be delivered remotely this summer. As opposed to an online course, which requires no live sessions and allows a student to study anytime, a remote course is either: (1) a course with live class sessions delivered via web conferencing, or (2) a course with pre-recorded lectures that a student can watch anytime, typically paired with live discussions sessions. For more detail on the remote format of a specific course, contact the instructor.

Important Dates
Session 1 classes start: May 26, 2020
Session 1 deadline for 100% refund: May 28, 2020
Session 1 deadline for 50% refund: June 2, 2020
For other important dates: