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To try everything Brilliant has to offer—free—for a 7 day trial, visit https://brilliant.org/VeryNormal. You'll also get 20% off an annual ...

Buy my full-length statistics, data science, and SQL courses here: https://linktr.ee/briangreco What is the difference between ...

Perhaps the most important formula in probability. Help fund future projects: https://www.patreon.com/3blue1brown An equally ...

Today we're going to talk about Bayes Theorem and Bayesian hypothesis testing. Bayesian methods like these are different from ...

In this video, we explore Bayesian Optimization, which constructs probabilistic models of unknown functions and strategically ...

What if I told you I can show you the difference between Bayesian and Frequentist statistics with one single coin toss? SUMMARY ...

Bayes' theorem explained with examples and implications for life. Check out Audible: http://ve42.co/audible Support Veritasium on ...

An introduction to the concepts of Bayesian analysis using Stata 14. We use a coin toss experiment to demonstrate the idea of ...

This video provides an intuitive explanation of the difference between Bayesian and classical frequentist statistics. If you are ...

The crazy link between Bayes Theorem, Linear Regression, LASSO, and Ridge! LASSO Video ...

This video in our Ecological Forecasting series introduces Bayesian hierarchical models as a way of capturing observable, but ...

Bayesian Optimization is one of the most popular approaches to tune hyperparameters in machine learning. Still, it can be applied ...

How to Estimate Rates with a Gamma-Poisson Bayesian Model.* In this video, learn how to estimate rates from count data using ...

This video provides an introduction to the If you are interested in seeing more of the material, arranged into a playlist, please visit: ...

Sorry for the spotty noise in places. I got the bug that's been going around. Anyways, statisticans got 99 problems and now you got ...

Bayesian logic is already helping to improve Machine Learning results using statistical models. Professor Mike Osborne drew us ...

Learning objectives: Understand a prior Understand a posterior Understand the role of subjective beliefs Understand the ...

A/B testing is a valuable and in-demand skills that data analysts, BI developers, and data scientists have in their analytical toolkits.

Provides an introduction to Bayes factors which are often used to do model comparison. In using Bayes factors, it is necessary to ...

Introductory lecture covering the concept of model updating, the motivation behind model updating, conceptual introduction to ...