Datum
Auf Anfrage
2 Tage
Preise
€
Zielsetzung
Dieser Kurs gibt eine Übersicht über die wichtigsten unüberwachten Verfahren des Maschinellen Lernens. Anhand von Fallbeispielen wird vermittelt, welche Modelle sich für bestimmte Problemstellungen eignen und die Datenvorbereitung zur Anwendung der jeweiligen Modelle wird erarbeitet. Der Fokus liegt auf den Bereichen Clustering, Anomlie-Erkennung und Dimensionsreduktion.
Zielgruppe
Führungskräfte im Bereich Digitalisierung, Smart Data, Innovation, Data Science Labs, AI Labs, IT, Produktentwicklung
Inhalte
- Recap der wichtigsten themenbezogenen Python-Frameworks (u.a. scikit-learn, pandas, numpy)
- Modelle: K-Means, Fuzzy C-Means, K-NN, PCA, NNMF
Dieser Kurs ist als öffentlicher Kurs (vor Ort oder online) und auch als Firmenschulung (vor Ort oder online) verfügbar.
- Modelle: K-Means, Fuzzy C-Means, K-NN, PCA, NNMF
Dieser Kurs ist als öffentlicher Kurs (vor Ort oder online) und auch als Firmenschulung (vor Ort oder online) verfügbar.
Voraussetzungen
Wir empfehlen unbedingt unsere "Basic Level Kurse 1-4" oder vergleichbare
Erfahrung
Ihr Kontakt
Kerstin Dosin
Anmeldung
Kontakt
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Intermediate 2: Machine Learning - Unsupervised Methods
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Intermediate 1: Machine Learning - Supervised Methods
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Intermediate 1: Machine Learning - Supervised Methods
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Basic 3: Introduction to Machine Learning
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Advanced 2: Deep Learning with Keras
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Basic 3: Introduction to Machine Learning
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Advanced 2: Deep Learning with Keras
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Advanced 3: Introduction to Reinforcement Learning
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Basic 2: Python Basics
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Advanced 1: Introduction to Neural Networks & Deep Learning
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Schulungen zu Machine Learning
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Advanced 3: Introduction to Reinforcement Learning
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Basic 2: Python Basics
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Advanced 1: Introduction to Neural Networks & Deep Learning
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Data Science, Artificial Intelligence und Machine Learning
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Advanced 5: Introduction to Natural Language Processing
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Advanced 6: Advanced Topics in Natural Language Processing
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Basic 1: Data Science 4 C-Level (Basic Level)
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Basic 4: Visualization with Plotly & App creation with Dash
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Advanced 4: Computer Vision Open CV
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Machine Learning in Applikationen
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Cloud Machine Learning
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Google Workspace Vertiefung (Teil 2)
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Modul 2: IT-Security-Manager
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Basic 4: Visualization with Plotly & App creation with Dash
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Advanced 4: Computer Vision Open CV
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Advanced 5: Introduction to Natural Language Processing
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Advanced 6: Advanced Topics in Natural Language Processing
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Deep Learning: Ein Beispiel aus dem öffentlichen Dienst
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Deep Learning: Ein Beispiel aus dem öffentlichen Dienst
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Grafana Dashboarding (Teil 2)
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Grafana Dashboarding (Teil 2)
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Grafana Dashboarding (Teil 2)
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Google Workspace Vertiefung (Teil 2)
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Modul 2: IT-Security-Manager
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Domino Leap Teil 2 Workflow Applikationen
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Domino Leap Teil 2 Workflow Applikationen
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Teams Basics 2: Strukturiert arbeiten mit Teams und Kanälen
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Webinar Datenschutzkoordinator/in
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Projekte zum Erfolg führen: Projektmanagement kompakt
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Microsoft Security Operations Analyst
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Angular Grundlagen
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Orientierung Agilität
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Kanban Training
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Scrum Training
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RESTful APIs
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Angular Vertiefung
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Talend Data Integration – Advanced
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Domino 14 Systemadministration Bootcamp
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HCL Domino on Linux Systemadministration
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Domino REST & Co
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Freshdesk Admin I
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Freshdesk Admin II
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Freshworks Q&A
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Google Workspace Einführung
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Führen in Zeiten von Veränderung - kompakt
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Neue Software & begeisterte Mitarbeitende. Kein Widerspruch!
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