CS480/680 Lecture 3: Linear Regression Published -- Download video MP4 360p Recommendations 11:23 Supernote A5X2 Update (The Carrot) 1:13:25 CS480/680 Lecture 5: Statistical Linear Regression 1:16:14 CS480/680 Lecture 11: Kernel Methods 1:14:55 CS480/680 Lecture 24: Gradient boosting, bagging, decision forests 26:57 The most beautiful equation in math, explained visually [Euler’s Formula] 27:27 Linear Regression, Clearly Explained!!! 1:22:13 6. Regression Analysis 40:08 The Most Important Algorithm in Machine Learning 1:00:59 CS480/680 Lecture 7: Mixture of Gaussians 55:51 CS480/680 Lecture 21: Generative networks (variational autoencoders and GANs) 57:24 Terence Tao at IMO 2024: AI and Mathematics 35:11 Is the Future of Linear Algebra.. Random? 3:29:15 Eric Weinstein - Are We On The Brink Of A Revolution? (4K) 1:01:31 CS480/680 Lecture 17: Hidden Markov Models 1:16:02 13. Regression 59:24 What is a TENSOR? (Really this time!) Similar videos 48:07 CS 480/680 - Lecture 3 - k-Nearest Neighbours 28:42 CS480/680 Lecture 14: Support vector machines (continued) 1:06:22 Introduction to ML - Lecture 3 - Regression and Classification with Linear Models (Part 4) 1:01:55 ML - Lecture 3 - Multiple features regression 1:29:23 CS480/680 Lecture 2: K-nearest neighbours 37:05 CS 480/680 - Lecture 1B - Perceptron 1:17:43 CS480/680 Lecture 13: Support vector machines More results