Spring 2022
COMPSCI 189 001 - LEC 001
Introduction to Machine Learning
Jonathan Shewchuk
Class #:21837
Units: 4
Instruction Mode:
In-Person Instruction
Time Conflict Enrollment Allowed
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Total Open Seats:
45
Enrolled: 586
Waitlisted: 0
Capacity: 631
Waitlist Max: 0
Open Reserved Seats:0
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
FRI, MAY 13TH
03:00 pm - 06:00 pm
RSF Fieldhouse
Evans 45
Evans 47
Evans 51
Evans 55
Bechtel 210
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.
Class Notes
Interested DATA SCIENCE majors should enroll in Lecture 002+ Discuss Section 99DS. That is set aside for Data Science majors ONLY.
* Time conflicts are allowed BUT no alternate final exam will be offered. Make sure you do NOT have a final exam conflict before enrolling in this class.show more
* Time conflicts are allowed BUT no alternate final exam will be offered. Make sure you do NOT have a final exam conflict before enrolling in this class.
Interested DATA SCIENCE majors should enroll in Lecture 002+ Discuss Section 99DS. That is set aside for Data Science majors ONLY.
* Time conflicts are allowed BUT no alternate final exam will be offered. Make sure you do NOT have a final exam conflict before enrolling in this class.
* Lecture will be webcast show less
* Time conflicts are allowed BUT no alternate final exam will be offered. Make sure you do NOT have a final exam conflict before enrolling in this class.
* Lecture will be webcast show less
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
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials