Sorvisto, Dayne

Exam Ref DP-100 Designing and Implementing a Data Science Solution on Azure

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ISBN 13:
9780135350607
author:
Sorvisto, Dayne
format:
Paperback
publisher:
Pearson Education (US)
language:
English
Publication Year:
2019
Pages:
192
Dimensions:
23 x 18.8 x 1.1 centimetres (0.3
Genre:
Certification Guides / Mcse Computers Textbook
Condition:
New
Availability:
Item usually sent within 10 working days
£32.27

Description

Designing and Implementing a Data Science Solution on Azure is your roadmap to passing Microsoft Exam DP-100. This comprehensive guide focuses on the critical thinking and decision-making skills required for success at the Microsoft Certified: Azure Data Scientist Associate level. You'll learn how to design and prepare a machine learning solution, manage an Azure Machine Learning workspace, explore data and train models, create models using the Azure Machine Learning designer, and more. The book features strategic scenarios to challenge your expertise and assumes you have experience in designing and creating suitable environments for data science workloads. By following this guide, you'll be able to apply data science and machine learning principles to implement and run machine learning workloads on Azure, including knowledge of Azure Machine Learning and MLflow.

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