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Serverless Machine Learning with Amazon Redshift ML

You're reading from  Serverless Machine Learning with Amazon Redshift ML

Product type Book
Published in Aug 2023
Publisher Packt
ISBN-13 9781804619285
Pages 290 pages
Edition 1st Edition
Languages
Concepts
Authors (4):
Debu Panda Debu Panda
Profile icon Debu Panda
LinkedIn
Debu Panda, a Senior Manager, Product Management at AWS, is an industry leader in analytics, application platform, and database technologies, and has more than 25 years of experience in the IT world. Debu has published numerous articles on analytics, enterprise Java, and databases and has presented at multiple conferences such as re:Invent, Oracle Open World, and Java One. He is lead author of the EJB 3 in Action (Manning Publications 2007, 2014) and Middleware Management (Packt, 2009).
See other products by Debu Panda
Phil Bates Phil Bates
Profile icon Phil Bates
LinkedIn
Phil Bates is a Senior Analytics Specialist Solutions Architect at AWS. He has more than 25 years of experience implementing large-scale data warehouse solutions. He is passionate about helping customers through their cloud journey and leveraging the power of ML within their data warehouse.
See other products by Phil Bates
Bhanu Pittampally Bhanu Pittampally
Profile icon Bhanu Pittampally
LinkedIn
Bhanu Pittampally is Analytics Specialist Solutions Architect at Amazon Web Services. His background is in data and analytics and is in the field for over 16 years. He currently lives in Frisco, TX with his wife Kavitha and daughters Vibha and Medha.
See other products by Bhanu Pittampally
Sumeet Joshi Sumeet Joshi
Profile icon Sumeet Joshi
LinkedIn
Sumeet Joshi is an Analytics Specialist Solutions Architect based out of New York. He specializes in building large-scale data warehousing solutions. He has over 17 years of experience in the data warehousing and analytical space.
See other products by Sumeet Joshi
View More author details

Table of Contents (19) Chapters

Preface 1. Part 1:Redshift Overview: Getting Started with Redshift Serverless and an Introduction to Machine Learning
2. Chapter 1: Introduction to Amazon Redshift Serverless 3. Chapter 2: Data Loading and Analytics on Redshift Serverless 4. Chapter 3: Applying Machine Learning in Your Data Warehouse 5. Part 2:Getting Started with Redshift ML
6. Chapter 4: Leveraging Amazon Redshift ML 7. Chapter 5: Building Your First Machine Learning Model 8. Chapter 6: Building Classification Models 9. Chapter 7: Building Regression Models 10. Chapter 8: Building Unsupervised Models with K-Means Clustering 11. Part 3:Deploying Models with Redshift ML
12. Chapter 9: Deep Learning with Redshift ML 13. Chapter 10: Creating a Custom ML Model with XGBoost 14. Chapter 11: Bringing Your Own Models for Database Inference 15. Chapter 12: Time-Series Forecasting in Your Data Warehouse 16. Chapter 13: Operationalizing and Optimizing Amazon Redshift ML Models 17. Index 18. Other Books You May Enjoy

Summary

In this chapter, you learned what XGBoost is and how to apply it to a business problem. You learned how to specify your own hyperparameters when using the Auto Off option and how to specify the objective for a binary classification problem. Additionally, you learned how to do your own data preprocessing and calculate the F1 score to validate the model performance.

In the next chapter, you will learn how to bring your own models from Amazon SageMaker for in-database or remote inference.

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Authors (4)

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Profile icon Debu Panda
LinkedIn
Debu Panda, a Senior Manager, Product Management at AWS, is an industry leader in analytics, application platform, and database technologies, and has more than 25 years of experience in the IT world. Debu has published numerous articles on analytics, enterprise Java, and databases and has presented at multiple conferences such as re:Invent, Oracle Open World, and Java One. He is lead author of the EJB 3 in Action (Manning Publications 2007, 2014) and Middleware Management (Packt, 2009).
See other products by Debu Panda
Profile icon Phil Bates
LinkedIn
Phil Bates is a Senior Analytics Specialist Solutions Architect at AWS. He has more than 25 years of experience implementing large-scale data warehouse solutions. He is passionate about helping customers through their cloud journey and leveraging the power of ML within their data warehouse.
See other products by Phil Bates
Profile icon Bhanu Pittampally
LinkedIn
Bhanu Pittampally is Analytics Specialist Solutions Architect at Amazon Web Services. His background is in data and analytics and is in the field for over 16 years. He currently lives in Frisco, TX with his wife Kavitha and daughters Vibha and Medha.
See other products by Bhanu Pittampally
Profile icon Sumeet Joshi
LinkedIn
Sumeet Joshi is an Analytics Specialist Solutions Architect based out of New York. He specializes in building large-scale data warehousing solutions. He has over 17 years of experience in the data warehousing and analytical space.
See other products by Sumeet Joshi
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