Department of Mathematics

Van Vleck Hall, 480 Lincoln Drive, Madison, WI

Math 535: Mathematical Methods In Data Science

Provides a rigorous introduction to concepts from different areas of mathematics that play an important role in modern data science. Topics include: matrix factorizations, Gaussian models, optimization theory and algorithms, finite Markov chains, introduction to infinite-dimensional spaces. Mathematical techniques are motivated by and illustrated on a range of applied problems from machine learning and statistics. Enroll Info: None

credits: 
3 (N-A)
prereqs: 
(MATH 320, 340, 341, 375 or COMP SCI/E C E/M E 532) and (MATH/STAT 309, 431, MATH 531, STAT 311 or E C E 331) and (MATH 341, 375, 376, 421, 467, 521); or graduate/professional standing or member of Pre-Masters Mathematics (Visiting International) Program

UW-Madison Department of Mathematics
Van Vleck Hall
480 Lincoln Drive
Madison, WI  53706

(608) 263-3054

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