MA 323 - MATHEMATICAL INTRODUCTION TO DATA SCIENCE

College of Arts and Sciences

Credit(s): 3

This course provides an introduction of mathematical data science, including high-dimensional data analysis and basic machine learning algorithms. Topics include singular value decomposition, low-rank approximation, principal component analysis, k-means, spectral clustering, topic models, nonnegative matrix factorization, together with various applications such as compressive sensing, image recovery and natural language processing.

Prereq: MA 213 and MA 322.