UBC Courses by Mark Schmidt

Courses Taught by Mark Schmidt

I've also assembled the material from all the completed courses below into one resource called 100 Lectures on Machine Learning.

2023-24

CPSC 340 and 540: Machine Learning and Data Mining (Fall 2023)

This year, CPSC 532M was re-named CPSC 540 to solve some issues with 532M being labeled as a topics course.

2022-23

CPSC 340 and 532M: Machine Learning and Data Mining (Fall 2022)

2021-22

CPSC 5XX: Numerical Optimization for Machine Learning (Summer 2022)
CPSC 440 and 540: Advanced Machine Learning (Winter 2022)

This year, a substantial amount of 440/540 material (about two thirds) was re-made to make it more undergrad and modern-ML friendly.

2020-21

CPSC 440 and 540: Advanced Machine Learning (Winter 2021)

This year, we added a listing of CPSC 540 under the name CPSC 440 to make it easier for undergrads to enroll in the course.

2019-20

CPSC 5XX: First-Order Optimization Algorithms for Machine Learning (Summer 2020)
CPSC 540: Machine Learning (Winter 2020)
CPSC 340 and 532M: Machine Learning and Data Mining (Fall 2019)

This year, we made the probability prerequisites for 340 more strict, allowing us to cover some topics in more detail. In 540, the first part of the course (covering machine learning optimization algorithms) was be removed from the class. This made 540 act more as a sequel to 340, and reduced the gap in difficulty between the two courses. I later covered machine learning optimization algorithms in an official summer course, CPSC 5XX.

2018-19

CPSC 540: Machine Learning (Winter 2019)
CPSC 340 and 532M: Machine Learning and Data Mining (Fall 2018)

Since many students are taking 340 for graduate credit, this year graduate students in 340 will enroll under a different course number (532M) and require an extra project component.

2017-18

CPSC 540: Machine Learning (Winter 2018)
CPSC 340: Machine Learning and Data Mining (Fall 2017)

2016-17

CPSC 540: Machine Learning (Winter 2017)
CPSC 340: Machine Learning and Data Mining (Fall 2016)

This year, a multivariate calculus prerequisite was added to 340. For 340, this means that some topics were covered in more detail while some new topics were be covered that were previously only covered in 540. For 540, this means we skipped some topics that were previously covered and there was some new more-advanced material added.

2015-16

CPSC 540: Machine Learning (Winter 2016)
CPSC 340: Machine Learning and Data Mining (Fall 2015)

This year, a lot of redundancy between 340 and 540 was removed so that together they can form a full-year course with a broader coverage of the field. CPSC 340 has a greater focus on data mining and applications, while CPSC 540 has a greater focus on theory and advanced methods.

2014-2015

CPSC 540: Machine Learning (Fall 2014)

A graduate-level introductory course in machine learning, mostly focusing on the typical topics you would see in a machine learning course.

Mark Schmidt > Courses