apprendimento supervisionato
Form des maschinellen Lernens, bei der ein Algorithmus aus Beispieldaten lernt.
Machine learning model which uses labeled datasets to train algorithms that classify data or predict outcomes accurately.
Apprentissage automatique dans lequel l'algorithme s'entraîne à une tâche déterminée en utilisant un jeu de données assorties chacune d'une annotation indiquant le résultat attendu.
Modalità di addestramento dove i dati utilizzati sono etichettati e per ogni input si conosce il rispettivo output che viene utilizzato per insegnare all'algoritmo le regole del modello.
2023-05-30T14:52:24.0535310Z
https://www.termdat.bk.admin.ch/entry/501288
CNAI - Kompetenznetzwerk für künstliche Intelligenz, 2021-12-15 ([Internet, 2022-12-20](https://cnai.swiss/wp-content/uploads/2023/04/CNAI_Terminologie_D_1_0.pdf))
CNAI - Competence Network for Artificial Intelligence, 2021-12-15 ([Internet, 2022-12-20](https://cnai.swiss/wp-content/uploads/2023/04/CNAI_Terminologie_E_1_0.pdf))
CNAI - Réseau de compétences en intelligence artificielle, 2021-12-15 ([Internet, 2022-12-20](https://cnai.swiss/wp-content/uploads/2023/04/CNAI_Terminologie_F_1_0.pdf))
CNAI - Rete di competenze per l’intelligenza artificiale, 2021-12-15 ([Internet, 2022-12-20](https://cnai.swiss/wp-content/uploads/2023/04/CNAI_Terminologie_I_1_0.pdf))
DOM: künstliche Intelligenz; EXP: beim überwachten Lernen stellen Entwickler den Algorithmen ein vorbereitetes Daten-Set als Trainingsquelle zur Verfügung; das Ergebnis ist somit bereits bekannt; die Aufgabe der Algorithmen liegt nur darin, das Muster zu erkennen
DOM: artificial intelligence; EXP: as input data is fed into the model, it adjusts its weights until the model has been fitted appropriately, which occurs as part of the cross validation process
DOM: intelligence artificielle; EXP: l'apprentissage supervisé recourt le plus souvent aux réseaux de neurones artificiels et est utilisé, par exemple, pour la reconnaissance d'images et la traduction automatique
DOM: intelligenza artificiale; EXP: gli algoritmi di apprendimento supervisionato sono modalità di apprendimento in cui l’errore porta ad approfondire e perfezionare la conoscenza
secondo AI4Business, Supervised Learning, cos'è, esempi di apprendimento supervisionato ([2022-01-13, Internet](https://www.ai4business.it/intelligenza-artificiale/supervised-learning-cose-esempi-di-apprendimento-supervisionato/))
(EXP) nach Ionos, Digital Guide, Was ist Supervised Learning? ([Internet, 2020-06-09](https://www.ionos.de/digitalguide/online-marketing/suchmaschinenmarketing/was-ist-supervised-learning/))
IBM, What is supervised learning? ([Internet, 2023-03-20](https://www.ibm.com/topics/supervised-learning))
d'après Légifrance, Vocabulaire de l'intelligence artificielle, "apprentissage supervisé", JORF n°0285, 2018-12-09 ([Internet, 2022-06-02](https://www.legifrance.gouv.fr/jorf/id/JORFTEXT000037783813))
nach Microsoft, Erstellen klassischer Machine Learning-Modelle mit überwachtem Lernen ([Internet, 2020-09-02](https://docs.microsoft.com/de-de/learn/modules/introduction-to-classical-machine-learning/))
after IBM, What is supervised learning? ([Internet, 2023-03-20](https://www.ibm.com/topics/supervised-learning))
Légifrance, Vocabulaire de l'intelligence artificielle, "apprentissage supervisé", JORF n°0285, 2018-12-09 ([Internet, 2022-06-02](https://www.legifrance.gouv.fr/jorf/id/JORFTEXT000037783813))
secondo AI4Business, Supervised Learning, cos'è, esempi di apprendimento supervisionato ([2022-01-13, Internet](https://www.ai4business.it/intelligenza-artificiale/supervised-learning-cose-esempi-di-apprendimento-supervisionato/))