Linear Algebra for Machine Learning

The UC San Diego Division of Extended Studies presents Linear Algebra for Machine Learning, a foundational course in the AI & Machine Learning category.

This program delves into essential mathematical concepts such as matrices, vectors, PCA, and gradient descent, with practical applications in TensorFlow.

Designed for aspiring data scientists and engineers, the course combines theoretical knowledge with hands-on projects to build expertise in neural networks and advanced machine learning techniques.