Spring 2021
COMPSCI 289A 001 - LEC 001
Introduction to Machine Learning
Jonathan Shewchuk
Jan 19, 2021 - May 07, 2021
Mo, We
07:30 pm - 08:59 pm
Internet/Online
Class #:28301
Units: 4
Instruction Mode:
Pending Review
Time Conflict Enrollment Allowed
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Total Open Seats:
-11
Enrolled: 51
Waitlisted: 0
Capacity: 40
Waitlist Max: 125
Open Reserved Seats:
26 reserved for Computer Science and Electrical Engineering and Computer Sciences Graduate Students
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 14TH
03:00 pm - 06:00 pm
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
* Initial enrollment capacity is set to 70% of total enrollment until TA hiring is complete. We anticipate total enrollment for the COMBINED class (189 + 289A) to be 667 seats.
* The lecture for this class will be recorded. At least one discussion section will be recorded.
.. show more
* The lecture for this class will be recorded. At least one discussion section will be recorded.
.. show more
* Initial enrollment capacity is set to 70% of total enrollment until TA hiring is complete. We anticipate total enrollment for the COMBINED class (189 + 289A) to be 667 seats.
* The lecture for this class will be recorded. At least one discussion section will be recorded.
* Time conflicts with this class will NOT be allowed by the Computer Science department. Faculty is NOT obligated to accommodate conflicting midterm or final exam times.
* 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.
* Grad students MUST enroll into CS 289A. No graduate students will be approved to enroll into CS 189. Undergrad students MUST enroll into CS 189. No undergrad students will be approve to enroll into CS 289A. show less
* The lecture for this class will be recorded. At least one discussion section will be recorded.
* Time conflicts with this class will NOT be allowed by the Computer Science department. Faculty is NOT obligated to accommodate conflicting midterm or final exam times.
* 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.
* Grad students MUST enroll into CS 289A. No graduate students will be approved to enroll into CS 189. Undergrad students MUST enroll into CS 189. No undergrad students will be approve to enroll into CS 289A. 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
Open Reserved Seats:
26 reserved for Computer Science and Electrical Engineering and Computer Sciences Graduate Students
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials