Lecture 2 - Advanced AI | SVD, PseudoInverses, Linear Regression, L1, L2 Regularization
Learn with Daniel and Johnny about the complex web of AI topics including Singular Value Decomposition, PseudoInverses, Linear Regression, L1, L2 Regularization and Principal Component Analysis.
We showcase how when you can't invert a matrix using linear regression, algorithms resort to the pseudoinverse and still work. We also discuss what's the difference between L1 and L2 regularization, and how all Machine Learning topics are inherently linked.