Media Summary: Introduction to Machine Learning ABOUT THE COURSE : With the increased availability of data from varied sources there has ... In this video we cover a modification to linear regression called Statistical Decision Theory , Regression, Expected prediction error, Linear Regression solution, Nearest Neighbour regression.
Week 2 Lecture 5 Shrinkage Methods - Detailed Analysis & Overview
Introduction to Machine Learning ABOUT THE COURSE : With the increased availability of data from varied sources there has ... In this video we cover a modification to linear regression called Statistical Decision Theory , Regression, Expected prediction error, Linear Regression solution, Nearest Neighbour regression. Neural network, Deep Learning, neurons, back propogation derivation, one neurone architecture, chian rule. Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing Trevor Hastie, Professor of Statistics and ... Neural network, Deep Learning, neurons, back propogation, one neurone architecture, chain rule.
Multivariate regression, QR decomposition. In this video, I explain the fundamentals of Support Vector Machines (SVM) in Machine Learning, including: Introduction to SVM ... Linear Regression, Basis expansion, Least squares, Hat matrix. In this video, I explained important Performance Metrics used in Machine Learning with easy numerical examples. Topics covered ...
