Machine Learning for Streaming Data with Python - Helion
Tytuł oryginału: Machine Learning for Streaming Data with Python
ISBN: 9781803242637
stron: 258, Format: ebook
Data wydania: 2022-07-15
Księgarnia: Helion
Cena książki: 116,10 zł (poprzednio: 129,00 zł)
Oszczędzasz: 10% (-12,90 zł)
Streaming data is the new top technology to watch out for in the field of data science and machine learning. As business needs become more demanding, many use cases require real-time analysis as well as real-time machine learning. This book will help you to get up to speed with data analytics for streaming data and focus strongly on adapting machine learning and other analytics to the case of streaming data.
You will first learn about the architecture for streaming and real-time machine learning. Next, you will look at the state-of-the-art frameworks for streaming data like River. Later chapters will focus on various industrial use cases for streaming data like Online Anomaly Detection and others. As you progress, you will discover various challenges and learn how to mitigate them. In addition to this, you will learn best practices that will help you use streaming data to generate real-time insights.
By the end of this book, you will have gained the confidence you need to stream data in your machine learning models.
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Spis treści
Machine Learning for Streaming Data with Python. Rapidly build practical online machine learning solutions using River and other top key frameworks eBook -- spis treści
- 1. An Introduction to Streaming Data
- 2. Architectures for Streaming and Real-Time Machine Learning
- 3. Data Analysis on Streaming Data
- 4. Online Learning with River
- 5. Online Anomaly Detection
- 6. Online Classification
- 7. Online Regression
- 8. Reinforcement Learning
- 9. Drift and Drift Detection
- 10. Feature Transformation and Scaling
- 11. Catastrophic Forgetting
- 12. Conclusion and Best Practices