BMSC-GA 4439
Machine Learning
New York University · UGRD · Fall 2026
1 section
Catalog description
This course will highlight what problems machine learning can solve relating to classification and regression. Extensive focus will be given to the main ways to classify: unsupervised and supervised. Also, the course will devote time to comparing machine learning vs. statistics. Prerequisites: Calculus, Linear Algebra, Algorithms and Data Structures, and Statistics.
Sections
Current meeting, instructor, credit, and enrollment details
001
Availability not recently verifiedClass #new_york-BMSCGA4439Fall 2026UGRD4 credits
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