PAC Learning and VC Dimension Published 2020-12-18 Download video MP4 360p Download video MP4 720p Recommendations 17:42 VC Dimension 28:01 Ali Ghodsi, Lec 19: PAC Learning 14:15 PAC learning: an example 1:19:21 Complete Statistical Theory of Learning (Vladimir Vapnik) | MIT Deep Learning Series 1:13:31 Lecture 07 - The VC Dimension 15:54 Probably Approximately Correct (PAC)Learning ( KTU CS467 Machine Learning Module 2) 12:02 SVM Kernels : Data Science Concepts 31:28 Building a neural network FROM SCRATCH (no Tensorflow/Pytorch, just numpy & math) 26:03 Reinforcement Learning: Machine Learning Meets Control Theory 48:50 21. Bayesian Statistical Inference I 40:32 Rademacher Complexity & VC Dimension 06:36 Machine Learning Fundamentals: Bias and Variance 21:20 Model Complexity and VC Dimension 10:51 Vc dimension and PAC 10:49 What is VC Dimension | Example vc dimension of Line Hypothesis class 15:11 Bayes theorem, the geometry of changing beliefs 07:15 Bias and Variance for Machine Learning | Deep Learning 33:03 Why Some Designs Are Impossible to Improve: Quintessence 18:40 But what is a neural network? | Chapter 1, Deep learning Similar videos 12:10 Machine Learning | The Vapnik-Chervonenkis Dimension 11:39 [W6-1] PAC learning and VC dimension 06:27 VC Dimension (Vapnik Chervonenkis Dimension- KTU CS467 Machine Learning - Module 1 ) 08:22 Vapnik-Chervonenkis Dimension: How it Impacts Model Performance | Machine Learning | ThinkUnderstand 11:56 Probably Approximately Correct Learning-PAC Learning-Supervised Learning-Machine Learning-15A05706 01:55 What is and How Probably Approximately Correct Algorithms PAC Help Us Make Sense of it All 02:24 VC Dimension - Model Building and Validation 30:31 PAC learning 13:11 Vapnik - Chervonenkis (VC) Dimension-Supervised Learning-Machine Learning -Unit-1- 15A05706 More results