- Prochain date:
- Termin auf Anfrage
- Durée totale:
- 10 Stunden in 2 Wochen
- Stage:
- Nein
- Langues d'enseignement:
- Englisch
- Type de formation:
- Weiterbildung
- Forme de cours:
- E-Learning
- Temps d'exécution:
- Abendveranstaltung
- Tagesveranstaltung
- Teilzeitveranstaltung
- Wochenendveranstaltung
- Participants min.:
- 1
- Participants max.:
- 100000
- Prix:
- keine Angaben
- Type de diplôme:
- Zertifikat/Teilnahmebestätigung
- Examen final:
- Ja
- Désignation de diplôme:
- keine Angaben
- Certifications du cours:
- Nicht zertifiziert
- Cours pour femmes uniquement:
- Nein
- Garde d’enfants:
- Nein
- Lien vers l’offre:
- Zum Angebot auf der Anbieter-Webseite
- Qualité de l’information:
- Suchportal Standard Plus
- Groupes cibles:
- everyone who is interested in models of AI and like mathematical accuracy/evidence.
- Connaissances spécialisées:
- Language: English. Course requirements: familiarity with mathematical notation (basic studies at the university).
- Connaissances techniques:
- Keine besonderen Anforderungen.
- Classification de l’Agence pour l’emploi:
- keine Angaben
Contenus
In this course you will be introduced to computational learning theory and get a glimpse of other research towards a theory of artificial intelligence.
Our starting point will be a hands-on binary classification task. Basically, this is the challenge of classifying the elements of a given set into two groups (predicting which group each one belongs to) on the basis of given labeled data. Thus the goal of the supervised machine learning algorithms is to derive a correct classification rule. Our interest lies in strategies that work not only for one specific classification task but more universally for a pre-specified set of such. You will get to know a formalization of the aforementioned notions and see illustrating examples. In the main part, you will get to know different learning models which are all based on a modular design. By investigating the learning power of these models and the learnability of the prominent set of half-spaces, we also give arguments for how to choose an appropriate one.
Toutes les informations sont sans garantie. Les prestataires sont seuls responsables de la justesse des informations mises à disposition.
Première publication le 19.07.2023, dernière mise à jour le 27.05.2024