MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018 - Lecture 2: Multiplying and Factoring Matrices

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multiplying matrices factoring matrices multiplying columns by rows rank one matrices

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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 Multiplying and factoring matrices are the topics of this lecture. Professor Strang reviews multiplying columns by rows: AB = sum of rank one matrices. He also introduces the five most important factorizations. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu

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