2023 Fall
COMPSCI 189 001 - LEC 001
Introduction to Machine Learning
Jennifer Listgarten, Jitendra Malik
Class #:28085
Units: 4
Instruction Mode:
In-Person Instruction
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Total Open Seats:
18
Enrolled: 241
Waitlisted: 0
Capacity: 259
Waitlist Max: 200
No Reserved Seats
Hours & Workload
1 hours of the exchange of opinions or questions on course material per week, 3 hours of instructor presentation of course materials per week, and 8 hours of outside work hours per week.
Final Exam
TUE, DECEMBER 12TH
08:00 am - 11:00 am
Wheeler 150
Other classes by Jennifer Listgarten
Other classes by Jitendra Malik
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.
Class Notes
* Time conflicts NOT allowed
* Lecture will NOT be recorded for playback later
* Interested Data Science majors should read this Ed thread and complete this form to apply for a seat in the class. Data Science Advising is managing enrollment for DS majors:
REA.. show more
* Lecture will NOT be recorded for playback later
* Interested Data Science majors should read this Ed thread and complete this form to apply for a seat in the class. Data Science Advising is managing enrollment for DS majors:
REA.. show more
* Time conflicts NOT allowed
* Lecture will NOT be recorded for playback later
* Interested Data Science majors should read this Ed thread and complete this form to apply for a seat in the class. Data Science Advising is managing enrollment for DS majors:
READ THE POST
https://edstem.org/us/courses/22867/discussion/2982674.
COMPLETE THE FORM
https://app.smartsheet.com/b/form/5c867e647a0144b5adeb3ed1df8d2172 show less
* Lecture will NOT be recorded for playback later
* Interested Data Science majors should read this Ed thread and complete this form to apply for a seat in the class. Data Science Advising is managing enrollment for DS majors:
READ THE POST
https://edstem.org/us/courses/22867/discussion/2982674.
COMPLETE THE FORM
https://app.smartsheet.com/b/form/5c867e647a0144b5adeb3ed1df8d2172 show less
Rules & Requirements
Requisites
- Undergraduate Students: College of Engineering declared majors and L&S Computer Science
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
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials