Dauer
2 Tage
Preise
€
Zielsetzung
Dieser Kurs gibt eine Übersicht über die wichtigsten überwachten 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 Klassifikation und Regression
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: Decision Trees, Random Forest, Support Vector Machines, Lineare Regression, Logistische Regression
- Modelle: Decision Trees, Random Forest, Support Vector Machines, Lineare Regression, Logistische Regression
Voraussetzungen
Wir empfehlen unbedingt unsere "Basic Level Kurse" oder vergleichbare Erfahrung
Ihr Kontakt
Kerstin Dosin
Kontakt
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Intermediate 1: Machine Learning - Supervised Methods
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Intermediate 2: Machine Learning - Unsupervised Methods
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Intermediate 2: Machine Learning - Unsupervised Methods
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Basic 3: Introduction to Machine Learning
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Advanced 1: Introduction to Neural Networks & Deep Learning
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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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Advanced 1: Introduction to Neural Networks & Deep Learning
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Basic 1: Data Science 4 C-Level (Basic Level)
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Schulungen zu 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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Data Science, Artificial Intelligence und Machine Learning
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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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Basic 2: Python Basics
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Machine Learning in Applikationen
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Cloud Machine Learning
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Basic 1: Data Science 4 C-Level (Basic Level)
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Basic 2: Python Basics
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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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Grafana Dashboarding (Teil 1)
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Google Workspace Vertiefung (Teil 1)
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Modul 1: IT-Security-Beauftragter
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Teams Basics 1: Überblick und erste Schritte
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HCL Connections Anwender Webinare Teil 1 bis 6
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Domino Leap Teil 1 Einführung in die LowCode App-Gestaltung
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Machine Learning: Macht KI den Online-Handel besser?
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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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Deep Learning: Ein Beispiel aus dem öffentlichen Dienst
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Grafana Dashboarding (Teil 1)
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Grafana Dashboarding (Teil 1)
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Grafana Dashboarding (Teil 1)
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Google Workspace Vertiefung (Teil 1)
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Modul 1: IT-Security-Beauftragter
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Teams Basics 1: Überblick und erste Schritte
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Workshop – HCL Traveler Grundlagen
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Workshop – HCL Domino Internetsicherheit
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Workshop – HCL Domino Sicherheitsgrundlagen
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Domino Datenbank Entwicklung Grundlagen
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Workshop LotusScript für Fortgeschrittene
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Teams Basics 2: Strukturiert arbeiten mit Teams und Kanälen
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Teams Basics 3: Arbeiten mit OneDrive SharePoint und Co
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Teams Basics 4: Arbeiten mit OneNote Planner Wiki und Co
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Microsoft Teams - Meetings erfolgreich leiten
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SharePoint Online für Anwender und Administratoren
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Managing Microsoft Teams Administrator (Associate)
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Webinar Datenschutzkoordinator/in
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Webinar IT-Sicherheitskoordinator/in
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Projekte zum Erfolg führen: Projektmanagement kompakt
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Microsoft Security Operations Analyst
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Agile Cloud Enabling (ACE) – Modul I für Entwickler
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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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Cloud Enabling Workshop
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Führen in Zeiten von Veränderung - kompakt
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Neue Software & begeisterte Mitarbeitende. Kein Widerspruch!
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Veränderungen als Führungskraft meistern
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IBM Cognos Analytics – Überblick und neue Funktionen
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IBM Cognos Analytics – Self-Service Reporting
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IBM Cognos Analytics – Reporting Basics
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IBM Cognos Analytics – Reporting Advanced
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IBM Cognos Analytics – Data Modeling
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IBM Cognos Analytics – Administration
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IBM Planning Analytics - Grundlagen
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IBM Planning Analytics - Administration
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IBM Planning Analytics - Entwickler
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HCL Connections Administration + CAT + HCEC
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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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Freshservice Admin
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Freshworks (Freshdesk / Freshservice) New Hire
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Freshworks Q&A
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Google Workspace Einführung
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Google Workspace Vertiefung (Teil 2)
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Google Workspace für Administratoren
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Grafana Grundlagen
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Grafana Dateninput
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Grafana Dashboarding (Teil 2)
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Grafana Alerting
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Grafana Instrumentierung
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Automating Administration with PowerShell
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Microsoft Azure Administrator
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Powershell für Systemadministratoren
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OCI-Container und Docker-Grundlagen
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Microsoft Power BI Desktop
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