Mathematical Foundations for Artificial Intelligence.

Catalog description

Semester course; 3 lecture hours. 3 credits. Prerequisite: MATH 200 with a minimum grade of C. Mathematical topics from linear algebra, calculus, probability and statistics that are essential for and at the core of common AI algorithms. Applications of vectors, matrices, tensors, inner products, norms, SVD, optimization, best approximations, gradient descent, probability distributions and statistical inference and Bayesian statistics in the context of machine learning.