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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

Summary

Our goal in this chapter was to make predictions using trained predictive or machine learning models. In the first section of this chapter, we learned how to select the right version of the predictive model. We used the two models of versioning described in Chapter 9, Predictive Model Training and Evaluation. In the second section, we learned that we need to provide data and parameters from the T-SQL part of the SQL Server to external scripts. We looked at how to pass parameters to the external script executed by the sp_execute_external_script stored procedure. We also explored how to consume results from the stored procedure.

In the third section, we discussed the use of the PREDICT keyword as an alternative to the predictions calculated by external scripts. In this section, we also considered the limits of the PREDICT keyword. In the final section, we joined our work...

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