Kunyu HeinTowards Data ScienceStatistics in ML: Why Sample Variance Divided by n Is Still a Good EstimatorUnderstand why we use (n − 1) in sample variance, and why using n still gives us a good estimator for the population variance.Apr 20, 20202Apr 20, 20202
Kunyu HeinTowards Data ScienceSVD in Machine Learning: PCAUnderstand what is principal component analysis, how we do it via EVD and SVD, and why the SVD implementation is better.Feb 23, 20202Feb 23, 20202
Kunyu HeinTowards Data ScienceSVD in Machine Learning: Ridge Regression and MulticollinearityUnderstand what multicollinearity is, how can it compromise least squares, and how classical ridge regression helpsJan 12, 2020Jan 12, 2020
Kunyu HeinTowards Data ScienceSVD in Machine Learning: Underdetermined Least SquaresUnderstand how SVD helps derive a consistent least-square weights vector for over- and underdetermined linear systems.Dec 31, 20191Dec 31, 20191
