Spring 2020
COMPSCI 289A 001 - LEC 001
Introduction to Machine Learning
Jonathan Shewchuk
Class #:28362
Units: 4
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Total Open Seats:
0
Enrolled:
Waitlisted:
Capacity:
Waitlist Max:
No Reserved Seats
Hours & Workload
8 hours of outside work hours per week, 1 hours of the exchange of opinions or questions on course material per week, and 3 hours of instructor presentation of course materials per week.
Final Exam
FRI, MAY 15TH
03:00 pm - 06:00 pm
Internet/Online
Other classes by Jonathan Shewchuk
Course Catalog Description
This course provides an introduction to theoretical foundations, algorithms, and methodologies for machine learning, emphasizing the role of probability and optimization and exploring a variety of real-world applications. Students are expected to have a solid foundation in calculus and linear algebra as well as exposure to the basic tools of logic and probability, and should be familiar with at least one modern, high-level programming language.
Class Notes
* The lecture for this class will be screencast.
* Time conflicts with this class WILL be allowed by the Computer Science department. NOTE: Faculty is NOT obligated to accommodate conflicting final exam times or project due dates.
* This class uses 999 sections. In addition.. show more
* Time conflicts with this class WILL be allowed by the Computer Science department. NOTE: Faculty is NOT obligated to accommodate conflicting final exam times or project due dates.
* This class uses 999 sections. In addition.. show more
* The lecture for this class will be screencast.
* Time conflicts with this class WILL be allowed by the Computer Science department. NOTE: Faculty is NOT obligated to accommodate conflicting final exam times or project due dates.
* This class uses 999 sections. In addition to the lecture, you must in enroll in DIS 999 to enroll in the course. Selection and assignment into the actual discussions happen outside of CalCentral. Instructors will provide more information during the first lecture. show less
* Time conflicts with this class WILL be allowed by the Computer Science department. NOTE: Faculty is NOT obligated to accommodate conflicting final exam times or project due dates.
* This class uses 999 sections. In addition to the lecture, you must in enroll in DIS 999 to enroll in the course. Selection and assignment into the actual discussions happen outside of CalCentral. Instructors will provide more information during the first lecture. show less
Rules & Requirements
Requisites
- Students not in the Master of Engineering Program
Credit Restrictions
Students will receive no credit for Comp Sci 289A after taking Comp Sci 189.
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
No Reserved Seats