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Unter dem Begriff des maschinellen Lernens (ML, oft auch \u201ek\u00fcnstliche Intelligenz\u201c) existieren zahlreiche Algorithmen, die unterschiedliche Komplexit\u00e4t und verschiedene Eigenschaften mit sich bringen. F\u00fcr das Training dieser Algorithmen sind meist gro\u00dfe Mengen an Daten notwendig. Insbesondere bei der Verwendung von personenbezogenen Daten stellen sich hierbei Fragen rund um den Datenschutz und die Privatsph\u00e4re von Betroffenen.<\/jats:p><jats:p>Dies ist der erste Teil eines zweiteiligen Artikels zum Thema privatsph\u00e4refreundliches ML. Dieser erste Teil bietet einen leicht verst\u00e4ndlichen Einstieg in das Thema des ML und geht dabei auf die wichtigsten Grundbegriffe ein. Au\u00dferdem werden einige der meistverwendeten ML-Verfahren, wie Entscheidungsb\u00e4ume und neuronale Netze, vorgestellt. Im zweiten Teil, der in der kommenden Ausgabe des Informatik Spektrums erscheint, werden Privatsph\u00e4reangriffe und datenschutzf\u00f6rdernde Ma\u00dfnahmen im Kontext von ML behandelt.<\/jats:p>","DOI":"10.1007\/s00287-022-01438-3","type":"journal-article","created":{"date-parts":[[2022,3,11]],"date-time":"2022-03-11T12:09:01Z","timestamp":1647000541000},"page":"70-79","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Privatsph\u00e4refreundliches maschinelles Lernen"],"prefix":"10.1007","volume":"45","author":[{"given":"Joshua","family":"Stock","sequence":"first","affiliation":[]},{"given":"Tom","family":"Petersen","sequence":"additional","affiliation":[]},{"given":"Christian-Alexander","family":"Behrendt","sequence":"additional","affiliation":[]},{"given":"Hannes","family":"Federrath","sequence":"additional","affiliation":[]},{"given":"Thea","family":"Kreutzburg","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,3,11]]},"reference":[{"key":"1438_CR1","volume-title":"Tensorflow: Large-scale machine learning on heterogeneous distributed systems","author":"M Abadi","year":"2016","unstructured":"Abadi M, Agarwal A, Barham P, Brevdo E, Chen Z, Citro C, Corrado GS, Davis A, Dean J, Devin M et al (2016) Tensorflow: Large-scale machine learning on heterogeneous distributed systems (arXiv:\u00a01603.04467)"},{"key":"1438_CR2","doi-asserted-by":"publisher","DOI":"10.1515\/9783110617894","volume-title":"Maschinelles Lernen","author":"E Alpaydin","year":"2019","unstructured":"Alpaydin E (2019) Maschinelles Lernen. 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