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Hands-On Data Science with SQL Server 2017

You're reading from   Hands-On Data Science with SQL Server 2017 Perform end-to-end data analysis to gain efficient data insight

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781788996341
Length 506 pages
Edition 1st Edition
Languages
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Authors (2):
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Vladimír Mužný Vladimír Mužný
Author Profile Icon Vladimír Mužný
Vladimír Mužný
Marek Chmel Marek Chmel
Author Profile Icon Marek Chmel
Marek Chmel
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Toc

Table of Contents (14) Chapters Close

Preface 1. Data Science Overview FREE CHAPTER 2. SQL Server 2017 as a Data Science Platform 3. Data Sources for Analytics 4. Data Transforming and Cleaning with T-SQL 5. Data Exploration and Statistics with T-SQL 6. Custom Aggregations on SQL Server 7. Data Visualization 8. Data Transformations with Other Tools 9. Predictive Model Training and Evaluation 10. Making Predictions 11. Getting It All Together - A Real-World Example 12. Next Steps with Data Science and SQL 13. Other Books You May Enjoy

Data science in the cloud

We're focusing on SQL Server, but you need to be aware of the fact that machine learning as a service was first available in Microsoft Azure cloud before it was available with SQL Server. There are already seven services associated with machine learning available in Azure (two of them, however, are already retiring):

  • HDInsight clusters
  • Machine Learning Studio web service plan
  • Machine Learning Studio workspaces
  • Machine Learning Studio web services
  • Machine Learning Service workspaces
  • Machine Learning Model Management (Retiring)
  • Machine Learning Experimentation (Retiring)

These services, together with the proper tools, can be another entry point to data science and working with your data. One of the tools you can use is Machine Learning Studio, a free online application, which you can use to create your experiments.

Azure Machine Learning Studio...
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