Linear Algebra - Math for Machine Learning

Linear Algebra - Math for Machine Learning

Dive into the fundamental concepts of linear algebra essential for machine learning in this 41-minute video lecture. Explore how linear algebra differs from traditional algebra and resembles programming, gaining insights into its crucial role in machine learning. Learn about arrays as optimizable function representations, linear functions, and the concept of "refactoring" in linear algebra. Discover the Singular Value Decomposition (SVD) as a generic matrix refactoring tool and its applications in machine learning. Access accompanying slides and exercise notebooks to reinforce your understanding. Perfect for those seeking to strengthen their mathematical foundation for machine learning applications.