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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Korstanje, Joos
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, Limited, 2022.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
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.