An exploration of the mathematics of data science. Analysis of the foundations of algorithms currently used in the field. Potential topics to be covered include: machine learning, compressed sensing, clustering, randomized numerical linear algebra, complex networks and random graph models. Students with credit for MATH 475 may not take this course for further credit. APMA 940 will be accepted in lieu of MATH 775.
An exploration of the mathematics of data science. Analysis of the foundations of algorithms currently used in the field. Potential topics to be covered include: machine learning, compressed sensing, clustering, randomized numerical linear algebra, complex networks and random graph models. Students with credit for MATH 475 may not take this course for further credit. APMA 940 will be accepted in lieu of MATH 775.
