# Edwin Wenink

## Philosophy | Artificial Intelligence | etcetera

Welcome to my personal space on the web ↯.

## Probability ENGRAMS

Calculating pi with Monte Carlo simulation

I came across Monte Carlo sampling in a class on Bayesian statistics, where a Markov Chain Monte Carlo (MCMC) sampler was used to approximate probability distributions that were otherwise hard to calculate due to nasty integrals. This posts illustrates the basic idea of Monte Carlo sampling, by using it to approximate the number $$\pi$$. The basic procedure is as follows: Take a circle with radius $$r$$ The area of the circle is $$\pi r^2$$ Draw a containing square which then has area …

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## Latest micros

↬ “Als abrupte bezuinigingen elders de prijs zijn die betaald moet worden voor een versterking van de bèta- en technische disciplines, dan passen vele bèta’s daar vriendelijk voor.”

#### Min-hashing (Mining Massive Datasets)

↬ Superb explanation of min-hashing as a method for efficiently approximating Jaccard similarity on bit vectors.

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