Stanford CS229: Machine Learning - Linear Regression and Gradient Descent | Lecture 2 (Autumn 2018) Published 2020-04-17 Download video MP4 360p Recommendations 1:19:34 Locally Weighted & Logistic Regression | Stanford CS229: Machine Learning - Lecture 3 (Autumn 2018) 1:15:20 Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018) 40:25 Learn Statistical Regression in 40 mins! My best video ever. Legit. 24:02 Inside Mark Zuckerberg's AI Era | The Circuit 10:45 The Man Who Solved the $1 Million Math Problem...Then Disappeared 25:47 Harvard Professor Explains Algorithms in 5 Levels of Difficulty | WIRED 1:20:57 Lecture 6 - Support Vector Machines | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018) 58:12 MIT Introduction to Deep Learning | 6.S191 1:18:52 Lecture 5 - GDA & Naive Bayes | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018) 17:38 The moment we stopped understanding AI [AlexNet] 26:09 Computer Scientist Explains Machine Learning in 5 Levels of Difficulty | WIRED 1:29:10 Andrew Ng: Deep Learning, Education, and Real-World AI | Lex Fridman Podcast #73 26:01 How to learn Machine Learning (ML/AI Roadmap 2024) 2:06:38 This is why Deep Learning is really weird. 46:02 What is generative AI and how does it work? – The Turing Lectures with Mirella Lapata 1:54:10 Lecture 1 | New Revolutions in Particle Physics: Basic Concepts Similar videos 1:22:02 Lecture 4 - Perceptron & Generalized Linear Model | Stanford CS229: Machine Learning (Autumn 2018) 1:26:03 Lecture 9 - Approx/Estimation Error & ERM | Stanford CS229: Machine Learning (Autumn 2018) 1:20:14 Lecture 11 - Introduction to Neural Networks | Stanford CS229: Machine Learning (Autumn 2018) 1:20:25 Lecture 7 - Kernels | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018) 02:34 Linear Regression in 2 minutes 22:44 Artificial Intelligence & Machine Learning 2 - Linear Regression | Stanford CS221: AI (Autumn 2021) 1:16:38 Lecture 12 - Backprop & Improving Neural Networks | Stanford CS229: Machine Learning (Autumn 2018) 1:12:43 RL Debugging and Diagnostics | Stanford CS229: Machine Learning Andrew Ng - Lecture 20 (Autumn 2018) 1:18:55 Lecture 13 - Debugging ML Models and Error Analysis | Stanford CS229: Machine Learning (Autumn 2018) 1:23:26 Lecture 8 - Data Splits, Models & Cross-Validation | Stanford CS229: Machine Learning (Autumn 2018) 1:20:34 Machine Learning 1 - Linear Classifiers, SGD | Stanford CS221: AI (Autumn 2019) 1:17:25 Stanford CS229 Machine Learning I Exponential family, Generalized Linear Models I 2022 I Lecture 4 More results