MSML606

Algorithms and Data Structures for Machine Learning

Reviews for this course Testudo

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 2025

Manoj Franklin

64 reviews
Average rating: 2.36

Sujeong Kim

10 reviews
Average rating: 2.10

Spring 2025

Samet Ayhan

2 reviews
Average rating: 2.50

Sujeong Kim

10 reviews
Average rating: 2.10

Past Semesters

Samet Ayhan

2 reviews
Average rating: 2.50

Manoj Franklin

64 reviews
Average rating: 2.36

Manoj Franklin

64 reviews
Average rating: 2.36

Manoj Franklin

64 reviews
Average rating: 2.36

* "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.