11.5 Nested CV for Algorithm Selection (L11 Model Eval. Part 4) Published 2020-11-24 Download video MP4 360p Recommendations 24:35 11.6 Nested CV for Algorithm Selection Code Example (L11 Model Eval. Part 4) 30:51 8.3 Bias-Variance Decomposition of the Squared Error (L08: Model Evaluation Part 1) 21:03 6.5 Gini & Entropy versus misclassification error (L06: Decision Trees) 10:37 The Bayesian Trap 23:52 Sergey Feldman: You Should Probably Be Doing Nested Cross-Validation | PyData Miami 2019 10:12 Cross Validation : Data Science Concepts 15:35 8.2 Intuition behind bias and variance (L08: Model Evaluation Part 1) 14:58 Support Vector Machines: All you need to know! 10:30 Why Neural Networks can learn (almost) anything 23:05 Attosecond Lasers (2023 Nobel Prize in Physics) - Sixty Symbols 25:05 6.1 Intro to Decision Trees (L06: Decision Trees) 29:49 Complete Guide to Cross Validation 08:36 Nested Cross Validation 10:23 A Gentle Introduction to Nested Cross-Validation 04:40 MFML 065 - Understanding k-fold cross-validation Similar videos 12:38 11.1 Lecture Overview (L11 Model Eval. Part 4) 07:13 11.3 Multiple Pairwise Comparisons (L11 Model Eval. Part 4) 20:46 11.2 McNemar's Test for Pairwise Classifier Comparison (L11 Model Eval. Part 4) 27:41 10.3 K-fold CV for Model Evaluation (L10: Model Evaluation 3) 11:17 10.1 Cross-validation Lecture Overview (L10: Model Evaluation 3) 31:02 Machine Learning From Scratch - Cross Validation And Confusion Matrix 04:55 MH4510 Lecture 4 part 1 - cross-validation for variable selection 04:59 Module 8. Introduction - Cross Validation; Hyperparameter tuning; Model Evaluation 20:59 Model Validation Techniques in Machine Learning using Python 04:11 Cross Validation Theory 05:57 Cross-Validation 03:42 Shuffle split cross validation More results