9. Four Ways to Solve Least Squares Problems
MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018
Instructor: Gilbert Strang
View the complete course: https://ocw.mit.edu/18-065S18
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63oMNUHXqIUcrkS2PivhN3k
In this lecture, Professor Strang details the four ways to solve least-squares problems. Solving least-squares problems comes in to play in the many applications that rely on data fitting.
License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Видео 9. Four Ways to Solve Least Squares Problems канала MIT OpenCourseWare
Instructor: Gilbert Strang
View the complete course: https://ocw.mit.edu/18-065S18
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63oMNUHXqIUcrkS2PivhN3k
In this lecture, Professor Strang details the four ways to solve least-squares problems. Solving least-squares problems comes in to play in the many applications that rely on data fitting.
License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Видео 9. Four Ways to Solve Least Squares Problems канала MIT OpenCourseWare
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
10. Survey of Difficulties with Ax = bLinear Regression Using Least Squares Method - Line of Best Fit EquationLeast squares approximation | Linear Algebra | Khan Academy8. Norms of Vectors and MatricesLecture: Least-Squares Fitting MethodsThis Makes Him Fight For You & Not Take You For GrantedIntroduction to residuals and least squares regression15. Projections onto Subspaces10. The Four Fundamental SubspacesGrowth Rates & Log GraphsWhy Have We Not Found Any Aliens? - with Keith CooperMSE101 L7.2 Non-linear least squares minimisation17. Orthogonal Matrices and Gram-Schmidt22. Gradient Descent: Downhill to a Minimum26. Structure of Neural Nets for Deep LearningLeast squares | MIT 18.02SC Multivariable Calculus, Fall 201035. Finding Clusters in Graphs21. Eigenvalues and EigenvectorsLeast squares I: Matrix problems1. The Column Space of A Contains All Vectors Ax