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Machine Learning for Streaming Data with Python

You're reading from   Machine Learning for Streaming Data with Python Rapidly build practical online machine learning solutions using River and other top key frameworks

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Product type Paperback
Published in Jul 2022
Publisher Packt
ISBN-13 9781803248363
Length 258 pages
Edition 1st Edition
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Author (1):
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Joos Korstanje Joos Korstanje
Author Profile Icon Joos Korstanje
Joos Korstanje
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Table of Contents (17) Chapters Close

Preface 1. Part 1: Introduction and Core Concepts of Streaming Data
2. Chapter 1: An Introduction to Streaming Data FREE CHAPTER 3. Chapter 2: Architectures for Streaming and Real-Time Machine Learning 4. Chapter 3: Data Analysis on Streaming Data 5. Part 2: Exploring Use Cases for Data Streaming
6. Chapter 4: Online Learning with River 7. Chapter 5: Online Anomaly Detection 8. Chapter 6: Online Classification 9. Chapter 7: Online Regression 10. Chapter 8: Reinforcement Learning 11. Part 3: Advanced Concepts and Best Practices around Streaming Data
12. Chapter 9: Drift and Drift Detection 13. Chapter 10: Feature Transformation and Scaling 14. Chapter 11: Catastrophic Forgetting 15. Chapter 12: Conclusion and Best Practices 16. Other Books You May Enjoy

Understanding microservices architecture

The concept of microservices is important to understand when working on architectures. Although there are other ways to architecture software projects, microservices are quite popular for a good reason. They help teams be flexible and effective, and help to keep software flexible and clearly structured.

The idea behind microservices is in the name: software is represented as many small services that operate individually. When looking at the overall architecture, each of the microservices is inside a small, black box with clearly defined inputs and outputs. Processes are put in place to call the right black box at the right time.

Microservice architecture is loosely coupled. This means that there is no fixed communication between the different microservices. Instead, each microservice can be called, or not called, by any other services or code.

If a change needs to be made to one of the microservices, the scope of the change is fairly...

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