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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
Author Profile Icon Jen Stirrup
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

Azure Machine Learning Studio

Azure Machine Learning Studio is an ML-as-a-Service platform for creating custom machine learning (ML) models. Azure ML Studio is a great tool for beginners who perhaps have some experience of consuming machine learning models and who would like to gain a deeper understanding of the training process. It offers more flexibility than the Cognitive Services APIs and an easy-to-learn development environment. The GUI does not require any programming and allows the user to concentrate on building ML models as efficiently as possible. Azure ML Studio is also a useful tool for more experienced AI developers who have a fairly simple problem at hand and need to get results quickly.

Azure ML Studio consists of two separate services: a Studio Workspace and Studio Web Services. Both of these services also include the backend computational resources needed for...

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