Datum
Auf Anfrage
2 Tage
Preise
€
Zielsetzung
Dieser Kurs gibt eine Einführung in das Maschinellen Lernen. Anhand von Fallbeispielen wird vermittelt, welche Modelle sich für bestimmte Problemstellungen eignen und die Datenvorbereitung zur Anwendung der jeweiligen Modelle wird erarbeitet.
Zielgruppe
Führungskräfte im Bereich Digitalisierung, Smart Data, Innovation, Data Science Labs, AI Labs, IT, Produktentwicklung
Inhalte
Einführung in die Idee des Maschinellen Lernens, Unterschied zwischen Überwachtem und Unüberwachtem Lernen
Datenaufbereitung, Explorative Datenanalyse, Kreuzvalidierung, Hyperparameteroptimierung.
Einführung in die wichtigsten themenbezogenen Python-Frameworks (u.a. scikit-learn, pandas, numpy)
Dieser Kurs ist als öffentlicher Kurs (vor Ort oder online) und auch als Firmenschulung (vor Ort oder online) verfügbar.
Datenaufbereitung, Explorative Datenanalyse, Kreuzvalidierung, Hyperparameteroptimierung.
Einführung in die wichtigsten themenbezogenen Python-Frameworks (u.a. scikit-learn, pandas, numpy)
Dieser Kurs ist als öffentlicher Kurs (vor Ort oder online) und auch als Firmenschulung (vor Ort oder online) verfügbar.
Voraussetzungen
Wir empfehlen unbedingt unseren Kurs "Python Basics" oder vergleichbare
Erfahrung
Ihr Kontakt
Kerstin Dosin
Anmeldung
Kontakt
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Basic 3: Introduction to Machine Learning
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Advanced 3: Introduction to Reinforcement Learning
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Advanced 3: Introduction to Reinforcement Learning
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Intermediate 1: Machine Learning - Supervised Methods
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Intermediate 2: Machine Learning - Unsupervised Methods
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Advanced 1: Introduction to Neural Networks & Deep Learning
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Intermediate 1: Machine Learning - Supervised Methods
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Intermediate 2: Machine Learning - Unsupervised Methods
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Basic 1: Data Science 4 C-Level (Basic Level)
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Advanced 1: Introduction to Neural Networks & Deep Learning
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Basic 2: Python Basics
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Advanced 5: Introduction to Natural Language Processing
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Advanced 2: Deep Learning with Keras
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Basic 4: Visualization with Plotly & App creation with Dash
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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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Advanced 5: Introduction to Natural Language Processing
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Schulungen zu Machine Learning
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Advanced 2: Deep Learning with Keras
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Basic 4: Visualization with Plotly & App creation with Dash
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Data Science, Artificial Intelligence und Machine Learning
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Advanced 6: Advanced Topics in Natural Language Processing
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Advanced 4: Computer Vision Open CV
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Cloud Machine Learning
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Machine Learning in Applikationen
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Modul 3: IT-Security-Auditor
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Teams Basics 3: Arbeiten mit OneDrive SharePoint und Co
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Advanced 4: Computer Vision Open CV
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Advanced 6: Advanced Topics in Natural Language Processing
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Domino Leap Teil 3 Über Leap hinaus - Wo liegen die Grenzen
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Machine Learning: Macht KI den Online-Handel besser?
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Modul 3: IT-Security-Auditor
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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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Gut gespurt zum Mobilitätsbroker
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Teams Basics 3: Arbeiten mit OneDrive SharePoint und Co
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Domino Leap Teil 3 Über Leap hinaus - Wo liegen die Grenzen
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Domino Leap Teil 3 Über Leap hinaus - Wo liegen die Grenzen
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BigPicture Basic Training
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Kleine Einführung ins Thema Softwarelizenzen
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Modul 1: IT-Security-Beauftragter
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Modul 2: IT-Security-Manager
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Workshop Advanced JavaScript
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JavaScript Bibiliotheken Frameworks & Tools
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Node.js - Grundlagen
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React - Grundlagen
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SCRUM - Grundlagen
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Domino Datenbank Entwicklung Grundlagen
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Datenbank-Strukturen für Domino
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Using LotusScript in Domino Applications
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Workshop LotusScript für Fortgeschrittene
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Workshop – HCL Sametime Chat und Konferenzlösung
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Webseiten Performance
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Responsive Web Design Grundlagen
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Search Engine Optimization (SEO)
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Microsoft Active Directory für Administratoren
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Workshop – HCL Domino Internetsicherheit
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Workshop – HCL Domino Sicherheitsgrundlagen
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Workshop – HCL Traveler Grundlagen
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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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Teams Basics 1: Überblick und erste Schritte
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Teams Basics 2: Strukturiert arbeiten mit Teams und Kanälen
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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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HCL Connections Anwender Webinare Teil 1 bis 6
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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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Microsoft Power BI Desktop
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Workshop panagenda MarvelClient DeepDive
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Quarkus Grundlagen
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RPG-Programmierung - Kompaktschulung
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Spring Boot Grundlagen
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Spring Data JPA Vertiefung
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Talend Data Integration – Basics
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Talend Data Integration – Advanced
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Building modern & responsive Web Applications with xPages
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