Leandre Sabourin·Jan 21Probability Density Function (PDF) and Probability Mass Function (PMF)A response icon1A response icon1
Anurupa Karmakar·Jan 12🎲Bernoulli vs Binomial: One Trial or Many? — Part 3In Part 2, we saw how repeating a simple Bernoulli trial naturally leads to the Binomial distribution. We counted outcomes, assigned…
HrudaySagarG·Nov 19, 2025The Discrete Approximation: From Bernoulli to PoissonThe approach described is based on discretizing time. In the real world, time is continuous. However, to simulate this on a computer (or to…
Crystal X·Jan 11, 2025A deep dive into the functions that pertain to discrete distributionsIn my last post I discussed the five functions that relate to continuous distributions, and that post can be read here…
Maimunul Karim Jisan·Oct 9, 2024Understanding Probability Distributions: A Guide to Random Variables and Density EstimationWhat are Probability Distributions?
Ebrahim Mousavi·May 24, 2024ML Series: Day 23 — Discrete Probability Distribution (Multinomial Distribution)Analyzing Outcomes with the Multinomial Distribution
Saurav Naik·May 23, 2024Binomial DistributionHere we will try to understand what is Binomial Distribution and how it can be approximated to Normal Distribution.
Ebrahim Mousavi·May 19, 2024ML Series: Day 19 — Exploring PMF, PDFDemystifying PMF and PDF: A Simple Guide to Probability Functions
Laxmi prasanna·Mar 13, 2024POBABILITY MASS FUNCTIONSThe Probability Mass function is defined on all the values of R, where it akes all the arguments of any real numbers It doesn’t belong to…
Feature Engineered·Feb 23, 2024Probability Distributions: A Comprehensive Guide to PMF, PDF, and CDF, PPFThis journey isn’t just for seasoned statisticians or data wizards — it’s for anyone with a curious mind and a thirst for knowledge.A response icon5A response icon5
