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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

Introduction to sampling theory

Before diving into descriptive statistics in streaming data, it is important to understand the basics of descriptive statistics in regular data. The domain that deals with the estimation of descriptive statistics using samples of the data is called sampling theory.

Comparing population and sample

In regular statistics, the concept of population and sample is very important. Let's have a look at the definitions before diving into it further:

  • Individual: Individuals are the individual objects or people that are included in a study. If your study looks at products on a production line and you measure the characteristics of a product, then the individual is the product. If you are doing a study on website sales and you track data on each website visitor, then your individual is the website visitor.
  • Population: A statistical population is generally defined as the pool of individuals from which a sample is drawn. The population contains...
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