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Hands-On Machine Learning with Azure

You're reading from  Hands-On Machine Learning with Azure

Product type Book
Published in Oct 2018
Publisher Packt
ISBN-13 9781789131956
Pages 340 pages
Edition 1st Edition
Languages
Authors (5):
Thomas K Abraham Thomas K Abraham
Profile icon Thomas K Abraham
Parashar Shah Parashar Shah
Profile icon Parashar Shah
Jen Stirrup Jen Stirrup
Profile icon Jen Stirrup
Lauri Lehman Lauri Lehman
Profile icon Lauri Lehman
Anindita Basak Anindita Basak
Profile icon Anindita Basak
View More author details
Toc

Table of Contents (14) Chapters close

Preface 1. AI Cloud Foundations 2. Data Science Process 3. Cognitive Services 4. Bot Framework 5. Azure Machine Learning Studio 6. Scalable Computing for Data Science 7. Machine Learning Server 8. HDInsight 9. Machine Learning with Spark 10. Building Deep Learning Solutions 11. Integration with Other Azure Services 12. End-to-End Machine Learning 13. Other Books You May Enjoy

Azure Functions

While Logic Apps provides a fast way to automate tasks, its collection of actions is limited to pre-selected options that cannot be customized. Moreover, the programmability of Logic Apps is quite limited, and the development of more complex programs is not necessarily any easier than writing code. If more flexibility is needed, it might be more productive to develop applications with Azure Functions. Functions can be developed with multiple programming languages familiar to web developers.

Azure Functions is a serverless coding platform in the cloud, where the underlying operating system has been virtualized. This means that many maintenance tasks, such as updating the operating system or language versions, is managed by the platform and the user does not need to worry about those tasks. On the other hand, the user cannot change the language version used by the...

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