InTDS ArchivebyShubham PanchalKernels: Everything You Need To KnowDensity Estimation, Dot Products, Convolutions and everything …Mar 6, 20231Mar 6, 20231
InTDS ArchivebyShubham PanchalEmpirical Distribution — Everything You Need To KnowApproximate distribution of the data, Dirac Delta function and much more.Aug 16, 20221Aug 16, 20221
InTDS ArchivebyShubham PanchalPrincipal Component Analysis: Everything You Need To KnowCovariance, eigenvalues, variance and everything …Sep 22, 20224Sep 22, 20224
InCantor’s ParadisebyShubham PanchalDemystifying Monte Carlo IntegrationPerforming numerical integration with the Monte Carlo methodMar 27, 20222Mar 27, 20222
InCantor’s ParadisebyShubham PanchalDemystifying Probability Distributions ( 1 / 3 )(1/3) Intro, Discrete random variables, probability mass functions …Jan 4, 20221Jan 4, 20221
Shubham PanchalDemystifying Probability Distributions ( 2 / 3 )(2/3) More on discrete random variables, continuous RVs, the CDFJan 25, 2022Jan 25, 2022
InCantor’s ParadisebyShubham PanchalDemystifying Probability Distributions ( 3 / 3 )More on Pr, momentsSep 11, 2022Sep 11, 2022
InCantor’s ParadisebyShubham PanchalDemystifying The Moore-Penrose Generalized InverseGeometric Intuition and DerivationJul 4, 20216Jul 4, 20216
InCantor’s ParadisebyShubham PanchalDemystifying Linear IndependenceUnderstand it with a gameJul 24, 20211Jul 24, 20211
InThe StartupbyShubham PanchalEntropy In The World Of Computer ScienceLet’s explore Information Entropy!Feb 2, 2020Feb 2, 2020
InCantor’s ParadisebyShubham PanchalTaylor Series And The Power Of ApproximationWe take a deeper look at what Taylor Series does and how can we obtain polynomials for approximating non-polynomial functions.Feb 24, 20203Feb 24, 20203