Wiki Archive - m2hycon https://www.m2hycon.de/en/category/news/wiki/ let's data science Wed, 15 May 2024 15:02:03 +0000 en-US hourly 1 https://wordpress.org/?v=7.1.2 https://www.m2hycon.de/wp-content/uploads/2022/10/favicon-150x150.jpg Wiki Archive - m2hycon https://www.m2hycon.de/en/category/news/wiki/ 32 32 Information entropy defined as easy as pie! https://www.m2hycon.de/en/news/practice/information-entropy-defined-as-easy-as-pie/ Thu, 18 Nov 2021 19:19:31 +0000 https://dev.m2hycon.de/aktuelles/unkategorisiert/information-entropy-defined-as-easy-as-pie/ What is information entropy? Let's assume that in summer we want to send our friends a telegram from Hamburg to St. Petersburg every day about the weather conditions: sunny, slightly cloudy, overcast, rainy.

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]]> Bayesian statistics as an extension of machine learning methods https://www.m2hycon.de/en/news/wiki/bayesian-statistics-as-an-extension-of-machine-learning-methods/ Mon, 14 Jun 2021 09:33:53 +0000 https://dev.m2hycon.de/aktuelles/unkategorisiert/bayesian-statistics-as-an-extension-of-machine-learning-methods/ Based on Bayes' theorem, Bayesian statistics has developed, which is used in the context of inductive statistics and machine learning to estimate parameters and test hypotheses.

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