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aakinshin.net
| | www.randomservices.org
4.8 parsecs away

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| | [AI summary] The text covers various topics in probability and statistics, including continuous distributions, empirical density functions, and data analysis. It discusses the uniform distribution, rejection sampling, and the construction of continuous distributions without probability density functions. The text also includes data analysis exercises involving empirical density functions for body weight, body length, and gender-specific body weight.
| | gregorygundersen.com
4.4 parsecs away

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| | [AI summary] The blog post derives the expected value of a left-truncated lognormal distribution, explaining the mathematical derivation and validating it with Monte Carlo simulations.
| | austinrochford.com
4.2 parsecs away

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| | While preparing the first in an upcoming series of posts on multi-armed bandits, I realized that a post diving deep on a simple Monte Carlo estimate of $\pi$ would be a useful companion, so here it is
| | bdtechtalks.com
23.0 parsecs away

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| Gradient descent is the main technique for training machine learning and deep learning models. Read all about it.