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  2. Programmering / softwareudvikling
  3. Programmering: Microsoft

Data Science Solutions on Azure

- Tools and Techniques Using Databricks and MLOps
Af: Julian Soh, Priyanshi Singh Engelsk Paperback

Data Science Solutions on Azure

- Tools and Techniques Using Databricks and MLOps
Af: Julian Soh, Priyanshi Singh Engelsk Paperback
Tjek vores konkurrenters priser
Understand and learn the skills needed to use modern tools in Microsoft Azure. This book discusses how to practically apply these tools in the industry, and help drive the transformation of organizations into a knowledge and data-driven entity. It provides an end-to-end understanding of data science life cycle and the techniques to efficiently productionize workloads. 

The book starts with an introduction to data science and discusses the statistical techniques data scientists should know. You''ll then move on to machine learning in Azure where you will review the basics of data preparation and engineering, along with Azure ML service and automated machine learning. You''ll also explore Azure Databricks and learn how to deploy, create and manage the same. In the final chapters you''ll go through machine learning operations in Azure followed by the practical implementation of artificial intelligence through machine learning. 

Data Science Solutions on Azure will reveal how the different Azure services work together using real life scenarios and how-to-build solutions in a single comprehensive cloud ecosystem. 

What You''ll Learn
  • Understand big data analytics with Spark in Azure Databricks 
  • Integrate with Azure services like Azure Machine Learning and Azure Synaps
  • Deploy, publish and monitor your data science workloads with MLOps 
  • Review data abstraction, model management and versioning with GitHub
Who This Book Is For

Data Scientists looking to deploy end-to-end solutions on Azure with latest tools and techniques. 


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Tjek vores konkurrenters priser
Normalpris
kr 526
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser
Understand and learn the skills needed to use modern tools in Microsoft Azure. This book discusses how to practically apply these tools in the industry, and help drive the transformation of organizations into a knowledge and data-driven entity. It provides an end-to-end understanding of data science life cycle and the techniques to efficiently productionize workloads. 

The book starts with an introduction to data science and discusses the statistical techniques data scientists should know. You''ll then move on to machine learning in Azure where you will review the basics of data preparation and engineering, along with Azure ML service and automated machine learning. You''ll also explore Azure Databricks and learn how to deploy, create and manage the same. In the final chapters you''ll go through machine learning operations in Azure followed by the practical implementation of artificial intelligence through machine learning. 

Data Science Solutions on Azure will reveal how the different Azure services work together using real life scenarios and how-to-build solutions in a single comprehensive cloud ecosystem. 

What You''ll Learn
  • Understand big data analytics with Spark in Azure Databricks 
  • Integrate with Azure services like Azure Machine Learning and Azure Synaps
  • Deploy, publish and monitor your data science workloads with MLOps 
  • Review data abstraction, model management and versioning with GitHub
Who This Book Is For

Data Scientists looking to deploy end-to-end solutions on Azure with latest tools and techniques. 


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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 285
ISBN-13: 9781484264041
Indbinding: Paperback
Udgave:
ISBN-10: 1484264045
Kategori: Programmering: Microsoft
Udg. Dato: 19 dec 2020
Længde: 22mm
Bredde: 233mm
Højde: 155mm
Forlag: APress
Oplagsdato: 19 dec 2020
Forfatter(e): Julian Soh, Priyanshi Singh
Forfatter(e) Julian Soh, Priyanshi Singh

Kategori Programmering: Microsoft

ISBN-13 9781484264041

Sprog Engelsk

Indbinding Paperback

Sider 285

Udgave

Længde 22mm

Bredde 233mm

Højde 155mm

Udg. Dato 19 dec 2020

Oplagsdato 19 dec 2020

Forlag APress

Kategori sammenhænge