Singular Value Decomposition and Image Compression

This course teaches the concept of Singular Value Decomposition (SVD) and its application in image compression. The learning outcomes include understanding how to express a matrix as a product of rotation and scaling matrices, and applying SVD for image compression. The course covers topics such as transformations, linear transformations, and dimensionality reduction. The teaching method involves video lectures with practical examples. The course is intended for individuals interested in linear algebra, data compression, and image processing.