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Hands-On Machine Learning with Azure

You're reading from   Hands-On Machine Learning with Azure Build powerful models with cognitive machine learning and artificial intelligence

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781789131956
Length 340 pages
Edition 1st Edition
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Authors (6):
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Jen Stirrup Jen Stirrup
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Jen Stirrup
Ryan Murphy Ryan Murphy
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Ryan Murphy
Anindita Basak Anindita Basak
Author Profile Icon Anindita Basak
Anindita Basak
Thomas K Abraham Thomas K Abraham
Author Profile Icon Thomas K Abraham
Thomas K Abraham
Parashar Shah Parashar Shah
Author Profile Icon Parashar Shah
Parashar Shah
Lauri Lehman Lauri Lehman
Author Profile Icon Lauri Lehman
Lauri Lehman
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Table of Contents (14) Chapters Close

Preface 1. AI Cloud Foundations FREE CHAPTER 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

Different scalable compute options in Azure

There are two types of scaling possible in Azure to help us scale our CPUs and/or GPUs:

  • Vertical scaling: Increasing the number of CPU cores and the memory of the VM.
  • Horizontal scaling: Increasing the number of VMs in the cluster, while keeping the CPU cores and the memory the same in each virtual machine. When we use horizontal scaling, we may have to write additional code to perform parallel or distributed computing using a supported framework.
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