Singular Value Decomposition and Image Compression
Offered By: Serrano.Academy via YouTube
Course Description
Overview
Learn about singular value decomposition (SVD), a powerful matrix technique, and its application to image compression in this 29-minute video. Explore how to express a matrix as a product of two rotation matrices and one scaling matrix. Dive into transformations, linear transformations, and dimensionality reduction. Discover practical applications of SVD in image compression. Access additional resources, including a GitHub repository and related videos on principal component analysis and matrix factorization for Netflix recommendations. Gain valuable insights into this essential mathematical concept and its real-world applications in data science and machine learning.
Syllabus
Introduction:
Transformations:
A puzzle:
A harder puzzle:
Linear transformations:
Dimensionality reduction:
Image compression:
Taught by
Serrano.Academy
Related Courses
Big Data Analytics in HealthcareGeorgia Institute of Technology via Udacity Introduction to Recommender Systems
University of Minnesota via Coursera Поиск структуры в данных
Moscow Institute of Physics and Technology via Coursera Materials Data Sciences and Informatics
Georgia Institute of Technology via Coursera Matrix Factorization and Advanced Techniques
University of Minnesota via Coursera