Korstanje Machine Learning for Streaming Data with Python

Rapidly build practical online machine learning solutions using River and other top key frameworks
1. Auflage 2022
ISBN: 978-1-80324-263-7
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 258 Seiten

No detailed description available for "Machine Learning for Streaming Data with Python".

Autoren/Hrsg.

Korstanje, Joos

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Informationstheorie, Kodierungstheorie
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Table of Contents - An Introduction to Streaming Data
- Architectures for Streaming and Real-Time Machine Learning
- Data Analysis on Streaming Data
- Online Learning with River
- Online Anomaly Detection
- Online Classification
- Online Regression
- Reinforcement Learning
- Drift and Drift Detection
- Feature Transformation and Scaling
- Catastrophic Forgetting
- Conclusion and Best Practices

Über Autor(innen)

Korstanje Joos:

Joos Korstanje, with his master's degrees in both environmental sciences and data science, has been working on statistics and data science for almost ten years. Through his work in different companies including Disney, Axa, and others, he has closely followed the developments in data science and related fields. This experience in the business world allows him to write about data science from an applied point of view (through his books, Medium, Towards Data Science, LinkedIn, and more).