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Undergraduate Record 2024-2025
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DS 3025 - Mathematics for Data Science
Effective Date 08/01/2024
Engage with and train in the use of key concepts in machine learning and math: OLS estimator for regression; logistic regression & maximum likelihood estimator; multiple linear regression; principal components analysis & multiple correspondence analysis; neural networks; logarithms; probability distributions; integrals; multivariate optimization; matrix notation, eigen-math, and matrix decomposition; infinite power series & Taylor series.
Requisites MATH 1210 or MATH 1310 or APMA 1090
Credits: 4
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