InTDS ArchivebyParag Radke·Oct 13, 2017Probabilistic Graphical Models — IntroductionProbabilistic graphical models or PGM are frameworks used to create probabilistic models of complex real world scenarios and represent them…A response icon2A response icon2
InTDS ArchivebyParag Radke·Sep 29, 2017Gaussian Discriminant Analysis an example of Generative Learning AlgorithmsGenerative Learning Algorithms: In Linear Regression and Logistic Regression both we modelled conditional distribution of y given x, as…A response icon10A response icon10
InTDS ArchivebyParag Radke·Sep 14, 2017Logistic Regression“It is more important to have beauty in one’s equations than to have them fit experiment…” — Paul Dirac
InTDS ArchivebyParag Radke·Sep 6, 2017Linear Regression“An approximate answer to the right problem is worth a good deal more than an exact answer to an approximate problem.” — John TukeyA response icon7A response icon7
