Semester:
Winter
Offered:
2022
Course Description: The course will present some computational and mathematical perspectives of machine learning and data science. We will discuss some theoretical results as well as have some programming experiences. Tentative topics for Winter 2022 are Sparse Optimization and Compressed Sensing, Supervised Learning and Kernel Methods, Neural Networks, and Randomized Linear Algebra. More details can be found in the course outline (attached below).
Lectures Information:
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From Jan 5th to Feb 4th: Monday & Wednesday 1:00pm-2:20pm on Zoom:
- Link:
- Meeting ID: 914 2353 6003; Passcode: To be emailed.
- From Jan 31st to April 4th: on-campus.
 | amath840_courseoutline.pdf | 167 KB |
