BMSC-GA 4439

Machine Learning

New York University · UGRD · Fall 2026

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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.

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Class #new_york-BMSCGA4439Fall 2026UGRD4 credits
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