The Moore-Penrose Pseudoinverse — Machine Learning Foundations

This video introduces Moore-Penrose pseudoinversion, a linear algebra concept that enables us to invert non-square matrices. The pseudoinverse is a critical machine learning concept because it solves for unknown variables within the non-square systems of equations that are common in machine learning. To show you how it works, we’ll use a hands-on 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 open-source 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 decade-long experience working as a machine learning and deep learning scientist, including lecturing at New York University and Columbia University, and offering my deep learning