Mathematical Concepts

Catalog description

Reviews the mathematical knowledge required to succeed in advanced artificial intelligence studies. Covers a wide range of mathematical concepts including introductory linear algebra, probability, statistics, and calculus. Beginning with basic linear algebra, introduces vectors, matrices, and linear transformations, which are crucial in understanding data representations and transformations in AI algorithms. Continues with probability and statistics, equipping students with the tools to analyze data, make predictions, and understand uncertainties in applied machine learning. Covers the essentials of calculus, which are fundamental to understanding optimization problems in AI algorithms.