{"id":1497,"date":"2026-01-08T09:16:52","date_gmt":"2026-01-08T09:16:52","guid":{"rendered":"https:\/\/iludis.de\/?p=1497"},"modified":"2026-09-01T13:52:01","modified_gmt":"2026-09-01T13:52:01","slug":"simulation-einer-covarianz","status":"publish","type":"post","link":"https:\/\/iludis.de\/?p=1497","title":{"rendered":"Mathematik &#038; Theorie in KI\/ML"},"content":{"rendered":"<h4>Diverse Grundlagen-Apps<\/h4>\n<p><a href=\"https:\/\/iludis.de\/Tools\/bias_varianz_simulator.html\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1838\" src=\"https:\/\/iludis.de\/wp-content\/uploads\/2026\/01\/approximation_360x188.png\" alt=\"\" width=\"360\" height=\"188\" srcset=\"https:\/\/iludis.de\/wp-content\/uploads\/2026\/01\/approximation_360x188.png 360w, https:\/\/iludis.de\/wp-content\/uploads\/2026\/01\/approximation_360x188-300x157.png 300w\" sizes=\"auto, (max-width: 360px) 100vw, 360px\" \/><br \/>\n&#x1f525;<\/a><a href=\"https:\/\/iludis.de\/Tools\/approximationstheorem.html\"> https:\/\/iludis.de\/Tools\/approximationstheorem.html<\/a><br \/>\nVisualsierung des fundamentalen Approximationstheorems<\/p>\n<p><a href=\"https:\/\/iludis.de\/Tools\/bias_varianz_simulator.html\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1839\" src=\"https:\/\/iludis.de\/wp-content\/uploads\/2026\/01\/biasvariance_360x262.png\" alt=\"\" width=\"360\" height=\"262\" srcset=\"https:\/\/iludis.de\/wp-content\/uploads\/2026\/01\/biasvariance_360x262.png 360w, https:\/\/iludis.de\/wp-content\/uploads\/2026\/01\/biasvariance_360x262-300x218.png 300w\" sizes=\"auto, (max-width: 360px) 100vw, 360px\" \/><\/a><br \/>\n<a href=\"https:\/\/iludis.de\/Tools\/bias_varianz_simulator.html\">&#x1f525; https:\/\/iludis.de\/Tools\/bias_varianz_simulator.html<\/a><br \/>\nViele-Welten-Ansatz des Bias-Variance-Tradeoffs<\/p>\n<p><a href=\"https:\/\/iludis.de\/DecTree\/rf_bias_varianz_simulator.html\">https:\/\/iludis.de\/DecTree\/rf_bias_varianz_simulator.html<\/a><br \/>\nViele-Welten-Ansatz des Bias-Variance-Tr. mit Random Forest<\/p>\n<p><a href=\"https:\/\/iludis.de\/Tools\/visualisierung_layer.html\">https:\/\/iludis.de\/Tools\/visualisierung_layer.html<\/a><br \/>\nVisualisierung von Lernverhalten Neuronaler Netze<\/p>\n<hr \/>\n<h4>Covarianz interaktiv<\/h4>\n<p><a href=\"https:\/\/iludis.de\/Covarianz\/index.html\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1498\" src=\"https:\/\/iludis.de\/wp-content\/uploads\/2026\/01\/covarianz.png\" alt=\"\" width=\"270\" height=\"244\" srcset=\"https:\/\/iludis.de\/wp-content\/uploads\/2026\/01\/covarianz.png 400w, https:\/\/iludis.de\/wp-content\/uploads\/2026\/01\/covarianz-300x271.png 300w\" sizes=\"auto, (max-width: 270px) 100vw, 270px\" \/><\/a><\/p>\n<p><a href=\"https:\/\/iludis.de\/Covarianz\/index.html\">Schritt-f\u00fcr-Schritt Berechnung von Covarianz und Korrelation<\/a><\/p>\n<hr \/>\n<h4>Simulation einer Normalverteilung mit Boxplot<\/h4>\n<p><a href=\"https:\/\/iludis.de\/Normalverteilung\/index.html\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1490\" src=\"https:\/\/iludis.de\/wp-content\/uploads\/2026\/01\/gauss.png\" alt=\"\" width=\"271\" height=\"159\" srcset=\"https:\/\/iludis.de\/wp-content\/uploads\/2026\/01\/gauss.png 1059w, https:\/\/iludis.de\/wp-content\/uploads\/2026\/01\/gauss-300x176.png 300w, https:\/\/iludis.de\/wp-content\/uploads\/2026\/01\/gauss-1024x601.png 1024w, https:\/\/iludis.de\/wp-content\/uploads\/2026\/01\/gauss-768x451.png 768w\" sizes=\"auto, (max-width: 271px) 100vw, 271px\" \/><\/a><\/p>\n<p><a href=\"https:\/\/iludis.de\/Normalverteilung\/index.html\">Simulation einer normalverteilten Punktewolke mit Boxplot und CSV-Export<\/a><\/p>\n<hr \/>\n<h4>Visualisierung eines Pascal-Dreiecks<\/h4>\n<p><a href=\"https:\/\/iludis.de\/Pascaldreieck\/index.html\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1492\" src=\"https:\/\/iludis.de\/wp-content\/uploads\/2026\/01\/galton.png\" alt=\"\" width=\"271\" height=\"230\" srcset=\"https:\/\/iludis.de\/wp-content\/uploads\/2026\/01\/galton.png 400w, https:\/\/iludis.de\/wp-content\/uploads\/2026\/01\/galton-300x255.png 300w\" sizes=\"auto, (max-width: 271px) 100vw, 271px\" \/><\/a><\/p>\n<p><a href=\"https:\/\/iludis.de\/Pascaldreieck\/index.html\">Addon: Simulation Pascaldreieck mit generischen Datens\u00e4tzen<\/a><\/p>\n<hr \/>\n<h4>\u00dcbergang Binomial-zu-Normalverteilung<br \/>\n<a href=\"https:\/\/iludis.de\/UeBinNorm\/index.html\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1495\" src=\"https:\/\/iludis.de\/wp-content\/uploads\/2026\/01\/UeBinNorm.png\" alt=\"\" width=\"400\" height=\"183\" srcset=\"https:\/\/iludis.de\/wp-content\/uploads\/2026\/01\/UeBinNorm.png 400w, https:\/\/iludis.de\/wp-content\/uploads\/2026\/01\/UeBinNorm-300x137.png 300w\" sizes=\"auto, (max-width: 400px) 100vw, 400px\" \/><\/a><\/h4>\n<p><a href=\"https:\/\/iludis.de\/UeBinNorm\/index.html\">Addon 2: Simulation des \u00dcbergangs von Binomial- zu Normalverteilung<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Diverse Grundlagen-Apps &#x1f525; https:\/\/iludis.de\/Tools\/approximationstheorem.html Visualsierung des fundamentalen Approximationstheorems &#x1f525; https:\/\/iludis.de\/Tools\/bias_varianz_simulator.html Viele-Welten-Ansatz des Bias-Variance-Tradeoffs https:\/\/iludis.de\/DecTree\/rf_bias_varianz_simulator.html Viele-Welten-Ansatz des Bias-Variance-Tr. mit Random Forest https:\/\/iludis.de\/Tools\/visualisierung_layer.html Visualisierung von Lernverhalten Neuronaler Netze Covarianz interaktiv Schritt-f\u00fcr-Schritt Berechnung von Covarianz und Korrelation Simulation einer Normalverteilung mit Boxplot Simulation einer normalverteilten Punktewolke mit Boxplot und CSV-Export Visualisierung eines Pascal-Dreiecks Addon: Simulation Pascaldreieck mit generischen&hellip; <\/p>\n<p class=\"toivo-read-more\"><a href=\"https:\/\/iludis.de\/?p=1497\" class=\"more-link\">Read more <span class=\"screen-reader-text\">Mathematik &#038; Theorie in KI\/ML<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13,12,14],"tags":[],"class_list":["post-1497","post","type-post","status-publish","format-standard","category-ki_material","category-ki_sims","category-tools","entry"],"_links":{"self":[{"href":"https:\/\/iludis.de\/index.php?rest_route=\/wp\/v2\/posts\/1497","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/iludis.de\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/iludis.de\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/iludis.de\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/iludis.de\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1497"}],"version-history":[{"count":7,"href":"https:\/\/iludis.de\/index.php?rest_route=\/wp\/v2\/posts\/1497\/revisions"}],"predecessor-version":[{"id":1840,"href":"https:\/\/iludis.de\/index.php?rest_route=\/wp\/v2\/posts\/1497\/revisions\/1840"}],"wp:attachment":[{"href":"https:\/\/iludis.de\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1497"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/iludis.de\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1497"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/iludis.de\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1497"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}