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Hands-On Data Science with SQL Server 2017

You're reading from  Hands-On Data Science with SQL Server 2017

Product type Book
Published in Nov 2018
Publisher Packt
ISBN-13 9781788996341
Pages 506 pages
Edition 1st Edition
Languages
Authors (2):
Marek Chmel Marek Chmel
Profile icon Marek Chmel
Vladimír Mužný Vladimír Mužný
Profile icon Vladimír Mužný
View More author details
Toc

Table of Contents (14) Chapters close

Preface 1. Data Science Overview 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 the predictive model self-training

One of the common myths about machine learning and predictive models is that they are naturally self-learning, which means that they can re-calculate themselves automatically based on every prediction made. This is not actually true; re-training a predictive model can be very time-consuming. In this section, we'll go through two tips about how to execute regular re-calculation of a predictive model.

Re-calculating a predictive model regularly

In the previous chapter 9, Predictive Model Training and Evaluation, we created a stored procedure called Models.procTrainModel. Let's briefly remind ourselves about what the stored procedure does. It is used to train a movie recommendation...

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