MIT-18.065-Linear-Algebra

mathematics-for-ml.github.io

Notes and codes for Matrix Methods In Data Analysis, Signal Processing, And Machine Learning.

Course : MIT Open CourseWork 18.065, Spring 2018

Presenter : Prof. Gilbert Strang

Original Link for Contents : Link

Table of Contents

1. Lecture 1: The Column Space of A Contains All Vectors Ax
2. Lecture 2: Multiplying and Factoring Matrix
3. Lecture 3: Orthonormal Columns in Q Give Q’Q = I
4. Lecture 4: Eigenvalues and Eigenvectors
5. Lecture 5: Positive Definite and Semidefinite Matrices
6. Lecture 6: Singular Value Decomposition

Members

• Haesung Pyun
• Changhyeon Nam