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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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Botsikas, Andreas (Author), Hlobil, Michael (Author)
Corporate Author: Safari, an O'Reilly Media Company
Format: Electronic eBook
Language:Inglés
Published: Packt Publishing, 2021.
Edition:1st edition.
Subjects:
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.
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • 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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