{"id":2654,"date":"2022-06-07T06:37:33","date_gmt":"2022-06-07T04:37:33","guid":{"rendered":"https:\/\/websites.fraunhofer.de\/adalovelacecenter-blog\/?p=2654"},"modified":"2022-09-27T13:31:53","modified_gmt":"2022-09-27T11:31:53","slug":"sequenzbasiertes-lernen","status":"publish","type":"post","link":"https:\/\/websites.fraunhofer.de\/adalovelacecenter-blog\/sequenzbasiertes-lernen\/","title":{"rendered":"Podcast: Sequenzbasiertes Lernen"},"content":{"rendered":"<p><strong>Ada im Gespr\u00e4ch mit Dr.-Ing. Christopher Mutschler \u00fcber die zeitlichen und kausalen Zusammenh\u00e4nge in Daten.<\/strong><\/p>\n<p><!--more--><\/p>\n<p>In der neuen Podcastfolge \u00ad\u00ad\u00adspreche ich mit Dr.-Ing. Christopher Mutschler \u00fcber die aktuellen Forschungsmethoden, Herausforderungen und Anwendungsm\u00f6glichkeiten der Kompetenzs\u00e4ule \u00bb<a href=\"https:\/\/www.scs.fraunhofer.de\/de\/referenzen\/ada-center\/sequenzbasiertes-lernen.html\">Sequenzbasiertes Lernen<\/a>\u00ab im <a href=\"https:\/\/www.scs.fraunhofer.de\/de\/referenzen\/ada-center.html#786746902\">Ada Lovelace Center for Analytics, Data and Applications<\/a>.<\/p>\n<p>Sequenzbasiertes Lernen besch\u00e4ftigt sich ganz grunds\u00e4tzlich mit den zeitlichen und kausalen Zusammenh\u00e4ngen von Daten. F\u00fcr zahlreiche Anwendungen in den Bereichen Biologie, Medizin, Finanzen und Industrie sind hochdimensionale Zeitreihen erforderlich. Der Umgang mit solch umfangreichen Datens\u00e4tzen stellt vor Herausforderungen \u2013 bietet aber gleichzeitig enormes Potential f\u00fcr Klassifikation, Regression, Prognose und Anomaliedetektion von Zeitpunkten und Ereignissen in Sequenzen (Zeitreihen) und liefert so wichtige Informationen zur Entscheidungsfindung von Unternehmen.<\/p>\n<p>Im Gegensatz zu anderen Methoden des Maschinellen Lernens, welche zum Modelltraining zuf\u00e4llig gew\u00e4hlte Datenpunkte aus einem Datensatz nutzen, ist beim sequenzbasierten Lernen die Reihenfolge der Daten essenziell. Der aktuelle Systemzustand wird erkannt und zuk\u00fcnftige Zust\u00e4nde werden vorhergesagt \/ fortgeschrieben. Dies ist m\u00f6glich, wenn die Reihenfolge, in der die Daten auftreten, bekannt ist oder wenn sie genaue Zeitstempel tragen.<\/p>\n<p>H\u00f6rt in den Podcast rein, um mehr \u00fcber die Methoden im \u00bbSequenzbasierten Lernen\u00ab zu erfahren, und wie sie in ganz unterschiedlichen Fragestellungen wie Rohstoffpreisprognosen, Spielverhaltensanalyse beim Fu\u00dfball oder Genomsequenzierung zum Einsatz kommen!<\/p>\n<audio class=\"wp-audio-shortcode\" id=\"audio-2654-1\" preload=\"none\" style=\"width: 100%;\" controls=\"controls\"><source type=\"audio\/mpeg\" src=\"https:\/\/websites.fraunhofer.de\/adalovelacecenter-blog\/wp-content\/uploads\/2022\/05\/ADA_Wills_Wissen_Podcast_Sequenzbasiertes_Lernen.mp3?_=1\" \/><a href=\"https:\/\/websites.fraunhofer.de\/adalovelacecenter-blog\/wp-content\/uploads\/2022\/05\/ADA_Wills_Wissen_Podcast_Sequenzbasiertes_Lernen.mp3\">https:\/\/websites.fraunhofer.de\/adalovelacecenter-blog\/wp-content\/uploads\/2022\/05\/ADA_Wills_Wissen_Podcast_Sequenzbasiertes_Lernen.mp3<\/a><\/audio>\n<p>&nbsp;<\/p>\n<p><strong>Sequence-based learning<\/strong><\/p>\n<p><strong>Ada talks to Dr.-Ing. Christopher Mutschler about temporal and causal relationships in data.<\/strong><\/p>\n<p>In this new podcast episode I talk with Dr.-Ing. Christopher Mutschler about the current research methods, challenges, and applications of the \u00bb<a href=\"https:\/\/www.scs.fraunhofer.de\/de\/referenzen\/ada-center\/sequenzbasiertes-lernen.html\">Sequence-Based Learning<\/a>\u00ab competence pillar at the Ada Lovelace Center for Analytics, Data and Applications.<\/p>\n<p>Sequence-based learning is about the temporal and causal relationships of data. High-dimensional time series are required for numerous applications in biology, medicine, finance, and industry. Handling such large data sets poses challenges &#8211; but at the same time offers enormous potential for classification, regression, prediction and anomaly detection of time points and events in sequences (time series), providing important information for business decision making.<\/p>\n<p>Unlike other machine learning methods that use randomly selected data points from a data set for model training, sequence-based learning relies on the order of the data. The current system state is recognized and future states are predicted. This is possible if the order in which the data occurs is known or if it carries accurate timestamps.<\/p>\n<p>Listen to the podcast to learn more about the methods in \u00bbSequence-based learning\u00ab and how they are used in very different problems such as commodity price forecasting, game behavior analysis in soccer or genome sequencing!<\/p>\n<div style=\"width: 770px;\" class=\"wp-video\"><video class=\"wp-video-shortcode\" id=\"video-2654-1\" width=\"770\" height=\"433\" poster=\"https:\/\/websites.fraunhofer.de\/adalovelacecenter-blog\/wp-content\/uploads\/2022\/05\/ADA_Lovelace_Center_Sequenzbasiertes_Lernen.png\" preload=\"metadata\" controls=\"controls\"><source type=\"video\/mp4\" src=\"https:\/\/websites.fraunhofer.de\/adalovelacecenter-blog\/wp-content\/uploads\/2022\/05\/ADA_Wills_Wissen_Podcast_Sequenzbasiertes_Lernen.mp4?_=1\" \/><a href=\"https:\/\/websites.fraunhofer.de\/adalovelacecenter-blog\/wp-content\/uploads\/2022\/05\/ADA_Wills_Wissen_Podcast_Sequenzbasiertes_Lernen.mp4\">https:\/\/websites.fraunhofer.de\/adalovelacecenter-blog\/wp-content\/uploads\/2022\/05\/ADA_Wills_Wissen_Podcast_Sequenzbasiertes_Lernen.mp4<\/a><\/video><\/div>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Ada im Gespr\u00e4ch mit Dr.-Ing. Christopher Mutschler \u00fcber die zeitlichen und kausalen Zusammenh\u00e4nge in Daten.<\/p>\n","protected":false},"author":2,"featured_media":2656,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[54,1,55],"tags":[80,72,84,85,82,81,91],"class_list":["post-2654","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-anwendungen","category-forschung","category-menschen","tag-adawillswissen","tag-machine-learning","tag-maschinelles-lernen","tag-ml-verfahren","tag-sequence-based-learning","tag-sequenzbasiertes-lernen","tag-sequenzmodelle"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Podcast: Sequenzbasiertes Lernen - adalovelacecenter-blog<\/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:\/\/websites.fraunhofer.de\/adalovelacecenter-blog\/sequenzbasiertes-lernen\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u00bbAda wills wissen\u00ab Podcast: Sequenzbasiertes Lernen\" \/>\n<meta property=\"og:description\" content=\"Ada im Gespr\u00e4ch mit Dr.-Ing. 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