Dauer
3 Tage
Preise
€
Zielsetzung
In diesem Kurs lernen die Teilnehmer fortgeschrittene Analysetechniken des NLP kennen. Fokus liegt auf der Implementation fortgeschrittener Techniken zur Informationsgewinnung aus Textdaten am Beispiel von Use-cases. Verschiedenste Verfahren des Maschinellen und Tiefen Lernens werden genutzt.
Zielgruppe
Führungskräfte im Bereich Digitalisierung, Smart Data, Innovation, Data Science Labs, AI Labs, IT, Produktentwicklung, Chief Digital Officer, Chief Data Officer, Chief Information Officer
Inhalte
- Sentiment Analyse (Textblob, VADER, (BERT))
- Word Embeddings (Embedding Layers, word2vec, GloVe, Implementation von Embeddings)
- Topic Modelle (gensim, LDA)
- Transformermodelle (Einführung in Transformermodelle und Encoder, BERT)
- Textzusammenfassung und Klassifizierung (z.B. BERT)
Dieser Kurs ist als öffentlicher Kurs (vor Ort oder online) und auch als Firmenschulung (vor Ort oder online) verfügbar.
- Word Embeddings (Embedding Layers, word2vec, GloVe, Implementation von Embeddings)
- Topic Modelle (gensim, LDA)
- Transformermodelle (Einführung in Transformermodelle und Encoder, BERT)
- Textzusammenfassung und Klassifizierung (z.B. BERT)
Dieser Kurs ist als öffentlicher Kurs (vor Ort oder online) und auch als Firmenschulung (vor Ort oder online) verfügbar.
Voraussetzungen
Wir empfehlen dringend unseren Kurs "Introduction to Natural Language
Processing" oder vergleichbare Erfahrung
Ihr Kontakt
Kerstin Dosin
Kontakt
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