Yashshavi KashyapCentral Limit TheoremEstimating population parameters through sampling is a powerful form of statistical inference, and the Central Limit Theorem (CLT) lets you…Nov 18
Roshmita DeyRejection Sampling: Sampling from ‘difficult’ distributionsRejection sampling is a fundamental technique used in statistics, computer science, and various other fields for generating samples from a…Feb 20
InCodeXbyAntarip GiriStatistically Speaking: A Playful Introduction to Data ScienceIs it significant that we learn about statistics if we want to be a better data scientist?Jun 1Jun 1
Haritha CWhy Stratified sampling during ML trainingI have been learning about the importance of sampling method while training a ML model. I would like to thank Abhishek Thakur for the…Mar 12Mar 12
InPython in Plain EnglishbyMahmoud Abdelaziz, PhDBias Variance Tradeoff in Parameter Estimation with Python CodeIn the previous article “Bias in statistical inference”, several types of biases were discussed. The type relevant for this article is the…May 1May 1
Yashshavi KashyapCentral Limit TheoremEstimating population parameters through sampling is a powerful form of statistical inference, and the Central Limit Theorem (CLT) lets you…Nov 18
Roshmita DeyRejection Sampling: Sampling from ‘difficult’ distributionsRejection sampling is a fundamental technique used in statistics, computer science, and various other fields for generating samples from a…Feb 20
InCodeXbyAntarip GiriStatistically Speaking: A Playful Introduction to Data ScienceIs it significant that we learn about statistics if we want to be a better data scientist?Jun 1
Haritha CWhy Stratified sampling during ML trainingI have been learning about the importance of sampling method while training a ML model. I would like to thank Abhishek Thakur for the…Mar 12
InPython in Plain EnglishbyMahmoud Abdelaziz, PhDBias Variance Tradeoff in Parameter Estimation with Python CodeIn the previous article “Bias in statistical inference”, several types of biases were discussed. The type relevant for this article is the…May 1
InTowards Data SciencebyAbhibhav SharmaIs n = 30 really enough? A popular inductive fallacy among data analysts.Ruminating Verbose of Statistics Part INov 22, 20204
InData Analytics MasterybyNilimesh Halder, PhDMastering Sampling Techniques: A Deep Dive into Modern Methods of Data CollectionArticle OutlineJan 25
Ashish AroraHypothesis Testing: Sampling DistributionIn our last series, we covered complete probability theory consisting of the Prerequisite of probability, Random variables, and Different…Aug 4, 2023
