Winter 2024: Algorithms for Data Science
Winter 2024: Algorithms for Data Science
Course No:
EECS 498-005
Credit Hours:
4 credits
Instructor:
Michal Derezinski
Prerequisites:
EECS 376 (advisory), linear algebra and probability
The course will cover several im-portant algorithms in data science and demonstrate how their performances can be analyzed. While fun-damental ideas covered in EECS 376 (e.g., design and analysis of algorithms) will be important, some topics will introduce new concepts and ideas, includ-ing randomized dimensionality reduction, sketching algorithms, and optimization algorithms (e.g., for training machine learning models).
More info (pdf)