Mathematical Foundations of AI

"Mathematical Foundatiouns of AI" offers a rigorous introduction to the fundamental concepts of linear algebra, calculus, and optimization theory that form the mathematical basis of machine learning, data science, deep learning, and artificial intelligence. It explores key topics including a comprehensive treatment of vectors and matrices, dimensionality reduction techniques, and a range of optimization methods, from approaches for unconstrained and constrained problems to iterative algorithms.