Machine learning for streaming data with Python rapidly build practical online machine learning solutions using River and other top key frameworks
Apply machine learning to streaming data with the help of practical examples, and deal with challenges that surround streaming Key Features Work on streaming use cases that are not taught in most data science courses Gain experience with state-of-the-art tools for streaming data Mitigate various cha...
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt Publishing Ltd
[2022]
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009671489506719 |
Tabla de Contenidos:
- 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.
