{"id":5142,"date":"2023-10-05T07:33:31","date_gmt":"2023-10-05T07:33:31","guid":{"rendered":"https:\/\/statorials.org\/de\/tutorials-zum-maschinellen-lernen\/"},"modified":"2023-10-05T07:33:31","modified_gmt":"2023-10-05T07:33:31","slug":"tutorials-zum-maschinellen-lernen","status":"publish","type":"page","link":"https:\/\/statorials.org\/de\/tutorials-zum-maschinellen-lernen\/","title":{"rendered":"Tutorials zum maschinellen lernen"},"content":{"rendered":"<p><span style=\"color: #000000;\">Auf dieser Seite sind alle auf Statorials verf\u00fcgbaren Tutorials zum maschinellen Lernen aufgef\u00fchrt.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Einf\u00fchrung in maschinelles Lernen<\/strong><\/span><br \/> <strong><a href=\"https:\/\/statorials.org\/de\/uberwachtes-vs.-unbeaufsichtigtes-lernen\/\">\u00dcberwachtes oder unbeaufsichtigtes Lernen<\/a><br \/> <a href=\"https:\/\/statorials.org\/de\/regression-vs.-klassifizierung\/\">Regressions- und Klassifizierungsalgorithmen<\/a><br \/> <a href=\"https:\/\/statorials.org\/de\/bias-varianz-kompromiss\/\">Der Bias-Varianz-Kompromiss<\/a><\/strong><\/p>\n<p> <span style=\"color: #000000;\"><strong>Lineare Regression<\/strong><\/span><br \/> <strong><a href=\"https:\/\/statorials.org\/de\/lineare-regression-1\/\">Einfache lineare Regression<\/a><\/strong> <span style=\"color: #000000;\">( <a href=\"https:\/\/statorials.org\/de\/einfache-lineare-regression-in-r\/\">R<\/a> , <a href=\"https:\/\/statorials.org\/de\/einfache-lineare-regression-in-python\/\">Python<\/a> )<br \/><\/span> <strong><a href=\"https:\/\/statorials.org\/de\/multiple-lineare-regression\/\">Multiple lineare Regression<\/a><\/strong> <span style=\"color: #000000;\">( <a href=\"https:\/\/statorials.org\/de\/multiple-lineare-regression-r\/\">R<\/a> , <a href=\"https:\/\/statorials.org\/de\/lineare-regressionspython\/\">Python<\/a> )<br \/><\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Einstufung<\/strong><\/span><br \/> <strong><a href=\"https:\/\/statorials.org\/de\/logistische-regression-1\/\">Logistische Regression<\/a><\/strong> <span style=\"color: #000000;\">(R, <a href=\"https:\/\/statorials.org\/de\/logistische-regressionspython\/\">Python<\/a> )<\/span><br \/> <strong><a href=\"https:\/\/statorials.org\/de\/lineare-diskriminanzanalyse\/\">Lineare Diskriminanzanalyse<\/a><\/strong> <span style=\"color: #000000;\">( <a href=\"https:\/\/statorials.org\/de\/lineare-diskriminanzanalyse-in-r\/\">R<\/a> , <a href=\"https:\/\/statorials.org\/de\/lineare-diskriminanzanalyse-in-python\/\">Python<\/a> )<\/span><br \/> <strong><a href=\"https:\/\/statorials.org\/de\/quadratische-diskriminanzanalyse\/\">Quadratische Diskriminanzanalyse<\/a><\/strong> <span style=\"color: #000000;\">( <a href=\"https:\/\/statorials.org\/de\/quadratische-diskriminanzanalyse-in-r\/\">R<\/a> , <a href=\"https:\/\/statorials.org\/de\/quadratische-diskriminanzanalyse-in-python\/\">Python<\/a> )<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>So beurteilen Sie die Angemessenheit des Modells<\/strong><\/span><br \/> <strong><a href=\"https:\/\/statorials.org\/de\/uberanpassung-des-maschinellen-lernens\/\">Was ist \u00dcberanpassung?<\/a><br \/> <a href=\"https:\/\/statorials.org\/de\/hinterlassen-sie-eine-einzige-kreuzvalidierung\/\">Leave-One-Out-Kreuzvalidierung<\/a><\/strong> <span style=\"color: #000000;\">( <a href=\"https:\/\/statorials.org\/de\/lassen-sie-eine-kreuzvalidierung-in-r-aus\/\">R<\/a> , <a href=\"https:\/\/statorials.org\/de\/lassen-sie-eine-kreuzvalidierung-in-python-durchfuhren\/\">Python<\/a> )<\/span><br \/> <strong><a href=\"https:\/\/statorials.org\/de\/k-fache-kreuzvalidierung\/\">K-Fold-Kreuzvalidierung<\/a><\/strong> <span style=\"color: #000000;\">( <a href=\"https:\/\/statorials.org\/de\/k-fache-kreuzvalidierung-in-r\/\">R<\/a> , <a href=\"https:\/\/statorials.org\/de\/k-fache-kreuzvalidierung-in-python\/\">Python<\/a> )<\/span><\/p>\n<p> <strong><span style=\"color: #000000;\">Modellauswahl<br \/><\/span> <a href=\"https:\/\/statorials.org\/de\/beste-auswahl-an-teilmengen\/\">Beste Teilmengenauswahl<\/a><br \/> <a href=\"https:\/\/statorials.org\/de\/auswahl-nach-stufen\/\">Schrittweise Auswahl<\/a><\/strong> <span style=\"color: #000000;\">( <a href=\"https:\/\/statorials.org\/de\/schritt-fur-schritt-regression-r\/\">R<\/a> )<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Regulierung<\/strong><\/span><br \/> <strong><a href=\"https:\/\/statorials.org\/de\/ruckbildung-des-ruckens\/\">Ridge-Regression<\/a><\/strong> <span style=\"color: #000000;\">( <a href=\"https:\/\/statorials.org\/de\/kammregression-in-r\/\">R<\/a> , <a href=\"https:\/\/statorials.org\/de\/kammregression-in-python\/\">Python<\/a> )<\/span><br \/> <strong><a href=\"https:\/\/statorials.org\/de\/lasso-regression\/\">Lasso-Regression<\/a><\/strong> <span style=\"color: #000000;\">( <a href=\"https:\/\/statorials.org\/de\/lasso-regression-in-r\/\">R<\/a> , <a href=\"https:\/\/statorials.org\/de\/lasso-regression-in-python\/\">Python<\/a> )<\/span><\/p>\n<p> <strong><span style=\"color: #000000;\">Dimensionsreduzierung<br \/><\/span> <a href=\"https:\/\/statorials.org\/de\/hauptkomponentenregression\/\">Hauptkomponentenregression<\/a><\/strong> <span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/de\/hauptkomponentenregression-in-r\/\">(R<\/a> , <a href=\"https:\/\/statorials.org\/de\/hauptkomponenten-regression-in-python\/\">Python<\/a> )<\/span><br \/> <strong><a href=\"https:\/\/statorials.org\/de\/partielle-kleinste-quadrate\/\">Partielle kleinste Quadrate<\/a><\/strong> <span style=\"color: #000000;\">( <a href=\"https:\/\/statorials.org\/de\/partielle-kleinste-quadrate-in-r\/\">R<\/a> , <a href=\"https:\/\/statorials.org\/de\/zumindest-teilweise-kanten-in-python\/\">Python<\/a> )<\/span><\/p>\n<p> <strong><span style=\"color: #000000;\">Erweiterte Regressionsmodelle<\/span><br \/> <a href=\"https:\/\/statorials.org\/de\/polynomielle-regression-1\/\">Polynomielle Regression<\/a><\/strong> <span style=\"color: #000000;\">( <a href=\"https:\/\/statorials.org\/de\/polynomregression-r\/\" target=\"_blank\" rel=\"noopener noreferrer\">R<\/a> , <a href=\"https:\/\/statorials.org\/de\/polynomregression-python\/\" target=\"_blank\" rel=\"noopener noreferrer\">Python<\/a> )<\/span><br \/> <strong><a href=\"https:\/\/statorials.org\/de\/multivariate-adaptive-regressionssplines\/\" rel=\"noopener noreferrer\">Multivariate adaptive Regressionssplines<\/a><\/strong> <span style=\"color: #000000;\">( <a href=\"https:\/\/statorials.org\/de\/multivariate-adaptive-regressionssplines-in-r\/\">R<\/a> , Python)<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Baumbasierte Methoden<\/strong><\/span><br \/> <strong><a href=\"https:\/\/statorials.org\/de\/klassifizierungs-und-regressionsbaume\/\">Klassifizierungs- und Regressionsb\u00e4ume<\/a><\/strong> <span style=\"color: #000000;\">( <a href=\"https:\/\/statorials.org\/de\/klassifizierungs-und-regressionsbaume-in-r\/\">R<\/a> )<\/span><br \/> <strong><a href=\"https:\/\/statorials.org\/de\/maschinelles-lernen-beim-absacken\/\">Absacken<\/a><\/strong> <span style=\"color: #000000;\">( <a href=\"https:\/\/statorials.org\/de\/einsacken-in-r\/\">R<\/a> )<\/span><br \/> <strong><a href=\"https:\/\/statorials.org\/de\/zufallige-ubungen\/\">Zuf\u00e4llige W\u00e4lder<\/a><\/strong> <span style=\"color: #000000;\">( <a href=\"https:\/\/statorials.org\/de\/zufallsbohrer-in-r\/\">R<\/a> )<\/span><br \/> <strong><a href=\"https:\/\/statorials.org\/de\/fordern-sie-maschinelles-lernen\/\">Boosten<\/a><\/strong> <span style=\"color: #000000;\">( <a href=\"https:\/\/statorials.org\/de\/xgboost-in-r\/\">R<\/a> )<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Unbeaufsichtigtes Lernen<\/strong><\/span> <strong><br \/><a href=\"https:\/\/statorials.org\/de\/hauptkomponentenanalyse-in-r\/\" rel=\"noopener noreferrer\">Hauptkomponentenanalyse in R<\/a><br \/> <a href=\"https:\/\/statorials.org\/de\/k-bedeutet-gruppierung-in-r\/\">K-Means-Clustering in R<\/a><br \/> <a href=\"https:\/\/statorials.org\/de\/k-medoide-in-r\/\">K-Medoide h\u00e4ufen sich in R<\/a><br \/><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Auf dieser Seite sind alle auf Statorials verf\u00fcgbaren Tutorials zum maschinellen Lernen aufgef\u00fchrt. Einf\u00fchrung in maschinelles Lernen \u00dcberwachtes oder unbeaufsichtigtes Lernen Regressions- und Klassifizierungsalgorithmen Der Bias-Varianz-Kompromiss Lineare Regression Einfache lineare Regression ( R , Python ) Multiple lineare Regression ( R , Python ) Einstufung Logistische Regression (R, Python ) Lineare Diskriminanzanalyse ( R , [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Tutorials zum maschinellen Lernen<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/de\/tutorials-zum-maschinellen-lernen\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Tutorials zum maschinellen Lernen\" \/>\n<meta property=\"og:description\" content=\"Auf dieser Seite sind alle auf Statorials verf\u00fcgbaren Tutorials zum maschinellen Lernen aufgef\u00fchrt. 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