2020 Spring COMPSCI 189 001 LEC 001

Spring 2020

COMPSCI 189 001 - LEC 001

Introduction to Machine Learning

Jonathan Shewchuk

Jan 21, 2020 - May 08, 2020
Mo, We
06:30 pm - 07:59 pm
Class #:28347
Units:4

Current Enrollment

Total Open Seats: 11
Enrolled: 728
Waitlisted: 2
Capacity: 739
Waitlist Max: 0
No Reserved Seats

Hours & Workload

1 hours of the exchange of opinions or questions on course material, 3 hours of instructor presentation of course materials, and 8 hours of outside work hours.

Final Exam

FRI, MAY 15TH
03:00 pm - 06:00 pm
Internet/Online

Other classes by Jonathan Shewchuk

Course Catalog Description

Theoretical foundations, algorithms, methodologies, and applications for machine learning. Topics may include supervised methods for regression and classication (linear models, trees, neural networks, ensemble methods, instance-based methods); generative and discriminative probabilistic models; Bayesian parametric learning; density estimation and clustering; Bayesian networks; time series models; dimensionality reduction; programming projects covering a variety of real-world applications.

Rules & Requirements

Requisites

  • Undergraduate Students - Excludes Visiting Students

Credit Restrictions

Students will receive no credit for Comp Sci 189 after taking Comp Sci 289A.

Repeat Rules

Course is not repeatable for credit.

Reserved Seats

Current Enrollment

No Reserved Seats

Textbooks & Materials

Associated Sections