Azure Data Scientist Associate Certification Guide

Develop the skills you need to run machine learning workloads in Azure and pass the DP-100 exam with ease Key Features Create end-to-end machine learning training pipelines, with or without code Track experiment progress using the cloud-based MLflow-compatible process of Azure ML services Operationa...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Botsikas, Andreas (Autor), Hlobil, Michael (Autor)
Autor Corporativo: Safari, an O'Reilly Media Company
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Packt Publishing, 2021.
Edición:1st edition.
Temas:
Cloud computing > Examinations > Study guides.
Microsoft Azure (Computing platform) > Examinations > Study guides.
Electronic data processing personnel > Certification > Study guides.
Infonuagique > Examens > Guides de l'étudiant.
Electronic data processing personnel > Certification.
Study guides.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Table of Contents An Overview of Modern Data Science Deploying Azure Machine Learning Workspace Resources Azure Machine Learning Studio Components Configuring the Workspace Letting the Machines Do the Model Training Visual Model Training and Publishing The AzureML Python SDK Experimenting with Python Code Optimizing the ML Model Understanding Model Results Working with Pipelines Operationalizing Models with Code.

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