/explore
|
You are here 
|
joel.tools | ||
| | | | |
sriku.org
|
|
| | | | | [AI summary] The article explains how to generate random numbers that follow a specific probability distribution using a uniform random number generator, focusing on methods involving inverse transform sampling and handling both continuous and discrete cases. | |
| | | | |
www.code-spot.co.za
|
|
| | | | | I am playing around with generating textures and decided to post some preliminary results. The algorithm used to create these images is simple to implement, but slow. Here is how it works: 1. Gener... | |
| | | | |
poissonisfish.com
|
|
| | | | | Someof the most fundamental functions in R, in my opinion, are those that deal with probability distributions. Whenever you compute a P-value you relyon a probability distribution, and there are many types out there. In this exercise I will cover four: Bernoulli, Binomial, Poisson, and Normal distributions. Let me begin with some theory first: Bernoulli... | |
| | | | |
www.mackorone.com
|
|
| | | [AI summary] A developer shares a tutorial and script solutions for managing Python virtual environments within TMux panes to avoid manual re-activation. | ||
