The Moore Penrose Pseudoinverse Machine Learning Foundations

This video introduces MoorePenrose pseudoinversion, a linear algebra concept that enables us to invert nonsquare matrices. The pseudoinverse is a critical machine learning concept because it solves for unknown variables within the nonsquare systems of equations that are common in machine learning. To show you how it works, well use a handson code demo. There are eight subjects covered comprehensively in the ML Foundations series and this video is from the second subject, Linear Algebra II: Matrix Operations. More detail about the series and all of the associated opensource code is available at The next video in the series is: The playlist for the entire series is here: This course is a distillation of my decadelong experience working as a machine learning and deep learning scientist, including lecturing at New York University and Columbia University, and offering my deep learning