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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

Technical requirements

You can find all the code for this book on GitHub at the following link: https://github.com/PacktPublishing/Machine-Learning-for-Streaming-Data-with-Python. If you are not yet familiar with Git and GitHub, the easiest way to download the notebooks and code samples is the following:

  1. Go to the link of the repository.
  2. Go to the green Code button.
  3. Select Download ZIP.

When you download the ZIP file, unzip it in your local environment, and you will be able to access the code through your preferred Python editor.

Python environment

To follow along with this book, you can download the code in the repository and execute it using your preferred Python editor.

If you are not yet familiar with Python environments, I would advise you to check out Anaconda (https://www.anaconda.com/products/individual), which comes with Jupyter Notebooks and JupyterLabs, which are both great for executing notebooks. It also comes with Spyder and VSCode for...

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