Linear Algebra Course – Mathematics for Machine Learning and Generative AI
About this course
This crash course offers a comprehensive introduction to linear algebra, tailored for aspiring machine learning professionals and AI enthusiasts. Over six hours, you'll delve into core concepts including vectors, matrices, and linear systems, enriched with practical examples. Learn vital operations such as vector addition, scalar multiplication, and how to solve linear equations using Gaussian elimination, all while exploring the applications of linear algebra in data science and AI.
What you should already know
A basic understanding of pre-algebra and mathematical principles such as real numbers and vector spaces is recommended before taking this course.
What you will learn
By the end of this course, learners will have a solid foundation in linear algebra, allowing them to apply these concepts in developing algorithms for machine learning and AI applications.