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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

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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