Active learning (cont.), non-linear predictions, kernals
Active learning (cont.), non-linear predictions, kernals
Tanmay Mondal
Linear regression, estimator bias and variance, active learning
Linear regression, estimator bias and variance, active learning
Kernal regression and kernels
Kernal regression and kernels of machine learning
Support vector machine (SVM) and kernels, kernel optimization
Support vector machine (SVM) and kernels, kernel optimization
Model selection
Model selection in machine learning
Model selection criteria
Model selection criteria in machine learning
Description length, feature selection
Description length, feature selection of model
Classification errors, regularization, logistic regression
Classification errors, regularization, logistic regression
Linear Algebra
Linear Algebra of Mathematics
ML introduction, Linear Classification and Perception
Machine learning part1
Perceptron convergence and updation
Machine learning part 2
Maximum margin classification
Machine learning part 3