Mathematics for AI and Machine Learning

Catalog description

This course introduces the fundamental concepts of linear algebra and calculus, two core areas of mathematics that power AI and machine learning algorithms. Students will explore vectors, matrices, eigenvalues, derivatives, gradients, and optimization techniques, gaining an intuitive and practical understanding of how these mathematical principles shape AI. With a focus on real-world applications and hands-on problem-solving, this course demystifies complex mathematical concepts and bridges the gap between theory and implementation in machine learning.