EE-Learning
Is Learning Feasible?
Catogry:
Computing
Subject:
Machine Learning
Course:
CS156-Machine Learning
Lecture List
Epilogue
Three Learning Principles
Radial Basis Functions
Kernel Methods
Support Vector Machines
Validation
Regularization
Overfitting
Neural Networks
The Linear Model II
Bias-Variance Tradeoff
The VC Dimension
Theory of Generalization
Training Versus Testing
Error and Noise
The Linear Model I
Is Learning Feasible?
The Learning Problem