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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

Communicating between services through APIs

A central component in microservice architectures is the use of APIs. An API is a part that allows you to connect two microservices (or other pieces of code) together.

APIs are much like websites. Just like a website, an API is built behind a website-like link or an IP address. When you go to a website, the server of the website sends you the code that represents the website. Your internet browser then interprets this code and shows you a web page.

When you call an API, the API will receive your request. The request triggers your code to be run on the server and generates a response that is sent back to you. If something goes wrong (maybe your request was not as expected or an error occurs), you may not receive any response, or receive an error code such as request not authorized or internal server error.

The following figure shows a flow chart that covers this. A computer or user sends an HTTP request, and the API server sends back...

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