MSML606
Algorithms and Data Structures for Machine Learning
Prerequisite: MSML605. Provides both a broad coverage of basic algorithms and data structures. Topics include sorting, searching, graph and string algorithms; greedy algorithm, branch-and-bound, dynamic programming and job scheduling; Arrays, linked lists, queues, stacks, and hash tables; Algorithm complexity, best/average/worst case analysis. Applications selected from machine learning problems.
Summer 2023
34 reviews
Average rating:
3.29
Past Semesters
1 review
Average rating:
3.00
34 reviews
Average rating:
3.29
34 reviews
Average rating:
3.29
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.