Fall 2023 - CMPT 410 D100
Machine Learning (3)
Class Number: 6789
Delivery Method: In Person
Overview
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Course Times + Location:
Sep 6 – Dec 5, 2023: Wed, 3:30–4:20 p.m.
BurnabySep 6 – Dec 5, 2023: Fri, 2:30–4:20 p.m.
Burnaby -
Exam Times + Location:
Dec 9, 2023
Sat, 7:00–10:00 p.m.
Burnaby
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Prerequisites:
CMPT 310 and MACM 316, both with a minimum grade of C-.
Description
CALENDAR DESCRIPTION:
Machine Learning (ML) is the study of computer algorithms that improve automatically through experience. This course introduces students to the theory and practice of machine learning, and covers mathematical foundations, models such as (generalized) linear models, kernel methods and neural networks, loss functions for classification and regression, and optimization methods. Students with credit for CMPT 419 under the title "Machine Learning" may not take this course for further credit.
Materials
REQUIRED READING NOTES:
Your personalized Course Material list, including digital and physical textbooks, are available through the SFU Bookstore website by simply entering your Computing ID at: shop.sfu.ca/course-materials/my-personalized-course-materials.
Registrar Notes:
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
SFU’s Academic Integrity website http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating. Check out the site for more information and videos that help explain the issues in plain English.
Each student is responsible for his or her conduct as it affects the university community. Academic dishonesty, in whatever form, is ultimately destructive of the values of the university. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the university. http://www.sfu.ca/policies/gazette/student/s10-01.html
RELIGIOUS ACCOMMODATION
Students with a faith background who may need accommodations during the semester are encouraged to assess their needs as soon as possible and review the Multifaith religious accommodations website. The page outlines ways they begin working toward an accommodation and ensure solutions can be reached in a timely fashion.