Media Summary: Training and test errors - Generalization error (a.k.a. risk) - Why training error is generally an inconsistent estimate of the risk ... 00:00 Recap of the partitioning estimator 02:15 Optimal rule in regression 04:31 Excess risk, the improvable part of risk 08:40 ... Gradient Descent with momentum How the momentum helps in fitting logistic regression to real data Multiclass extension of ...
Arash Vafaei Pattern Recognition Project - Detailed Analysis & Overview
Training and test errors - Generalization error (a.k.a. risk) - Why training error is generally an inconsistent estimate of the risk ... 00:00 Recap of the partitioning estimator 02:15 Optimal rule in regression 04:31 Excess risk, the improvable part of risk 08:40 ... Gradient Descent with momentum How the momentum helps in fitting logistic regression to real data Multiclass extension of ... Gradient descent in PyTorch Linear regression by gradient descent. 00:00 Comparing two classifiers by doing a hypothesis test -- Is the improvement in the test error significant enough to merit ... Plugin estimator of the joint distribution Plugin estimator of the Bayes Training error.
