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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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Toc

Table of Contents (14) Chapters Close

Preface 1. AI Cloud Foundations 2. Data Science Process FREE CHAPTER 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

Summary

In this chapter, you were introduced to some of the latest big data analytics technologies in Microsoft Azure. The chapter has focused on two main technologies: Azure HDInsight with Spark, and Azure Databricks.

In the chapter, we have looked at the different ways of modelling data, and we have covered useful tips to help you to understand what the models actually mean. Often, this is not the end of the data science process, because this may throw up new questions as you get new insights. So, it is a process rather than a race—but that's what makes it interesting!

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