Statistical Machine Learning Part 41 - Statistical learning theory: VC dimension Published 2020-06-28 Download video MP4 360p Download video MP4 720p Recommendations 13:08 Statistical Machine Learning Part 42 - Statistical learning theory: Rademacher complexity 1:13:31 Lecture 07 - The VC Dimension 1:19:21 Complete Statistical Theory of Learning (Vladimir Vapnik) | MIT Deep Learning Series 16:35 Entropy (for data science) Clearly Explained!!! 06:14 Mamba Language Model Simplified In JUST 5 MINUTES! 14:58 Support Vector Machines: All you need to know! 25:32 Structural Equation Modeling: what is it and what can we use it for? (part 1 of 6) 21:09 VC Dimension 23:44 Ex-Professor Reveals Way to REALLY Learn Languages (according to science) 14:15 Russell's Paradox - A Ripple in the Foundations of Mathematics 25:09 How Bayes Theorem works 17:05 Math is the hidden secret to understanding the world | Roger Antonsen 31:33 The Oldest Unsolved Problem in Math 49:43 Python Machine Learning Tutorial (Data Science) 14:49 Statistical Learning Theory 1 17:07 LoRA explained (and a bit about precision and quantization) 15:52 Queuing Theory Tutorial - Queues/Lines, Characteristics, Kendall Notation, M/M/1 Queues 32:46 How does Netflix recommend movies? Matrix Factorization 1:15:59 MIT 6.S094: Recurrent Neural Networks for Steering Through Time Similar videos 17:17 PAC Learning and VC Dimension 23:45 ECE595ML Lecture 27-1 VC Dimension 28:36 Statistical Machine Learning Part 40 - Statistical learning theory: shattering coefficient 06:55 Statistical Learning Theory 11 16:53 Course on the Statistical Learning Theory: 07 VC Dimension 40:41 Machine Learning: Lecture 18a: The VC Dimension 10:10 Learning Theory 03:50 Statistical Learning Theory 12 1:13:31 Machine Learning | 07 | Vapnik–Chervonenkis (VC) dimension 52:32 MAT1841 - Lec 24 - VC (Vapnik-Chervonenkis) Dimension 32:11 ee53 lec60 VC dimension 23:25 Machine Learning 15: VC-Dimension 19:51 Statistical Machine Learning Part 7a - What is a convex optimization problem? 27:26 Statistical Machine Learning Part 37 - Spectral clustering: normalized, regularized 17:48 07-d LFD: VC-dimension in theory versus in practice. 46:43 Unit-3 Computational learning theory (PAC learning, VC dimension) #machinelearning More results