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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

Making Predictions

In the previous Chapter 9, Predictive Model Training and Evaluation, we created an example of a machine learning model that could provide a movie recommendation based on the movies watched and rated by a user. Predictive models created and stored on SQL Server are used to predict future values or events. This chapter goes through the different options of how to consume prepared predictive models.

This chapter consists of the following sections:

  • Reading models from a database: In this section, we will learn how to read different versions of predictive models from temporal tables and from common tables. We will then look at how to send the model to an external script.
  • Submitting parameters to an external script: The prediction itself works with known parameters of the estimated item. This section will show how to correctly declare the parameters for the execution...
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