Data Analysis and Matrix Computations
Prerequisites:   Mathematical Analysis, Advanced Algebra, Numerical Linear Algebra
Grading Policy:   Classroom performance & Assignments & Projects 60% + Final exam 40%
Instructor
References
The Mathematics of Data, Editors: Michael W. Mahoney, John C. Duchi, and Anna C. Gilbert, AMS, IAS, SIAM, 2018
Mathematics for Machine Learning, Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong, Cambridge University Press, 2020
Bayesian Scientific Computing, Daniela Calvetti and Erkki Somersalo, Springer, 2023
Assignments (tentative)
Projects (tentative)
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