2022 Fall COMPSCI 289A 001 LEC 001

2022 Fall

COMPSCI 289A 001 - LEC 001

Introduction to Machine Learning

Jennifer Listgarten, Jitendra Malik

Aug 24, 2022 - Dec 09, 2022
Tu, Th
02:00 pm - 03:29 pm
Class #:27765
Units: 4

Instruction Mode: In-Person Instruction

Current Enrollment

Total Open Seats: 15
Enrolled: 32
Waitlisted: 0
Capacity: 47
Waitlist Max: 100
Open Reserved Seats:
39 reserved for Electrical Engineering and Computer Sciences - Master of Engineering Students

Hours & Workload

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

Final Exam

TUE, DECEMBER 13TH
08:00 am - 11:00 am
Pimentel 1
Evans 55
Evans 70
Evans 71
Evans 75

Other classes by Jennifer Listgarten

Other classes by Jitendra Malik

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.

Rules & Requirements

Requisites

  • Graduate students NOT in the Master of Engineering Program other those in EECS

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:
39 reserved for Electrical Engineering and Computer Sciences - Master of Engineering Students

Textbooks & Materials

See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.

Textbook Lookup

Guide to Open, Free, & Affordable Course Materials

eTextbooks

Associated Sections