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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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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Korstanje, Joos
Format: Electronic eBook
Language:Inglés
Published: Birmingham : Packt Publishing, Limited, 2022.
Subjects:
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • 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.