Machine Learning for Streaming Data with Python
This book will help you to design, develop and implement machine learning models for streaming data to generate real-time insights. You’ll also be able to explore the challenges associated with streaming data and its best practices.
Offered by
Difficulty Level
Intermediate
Completion Time
8h36m
Language
English
About Book
Who Is This Book For?
This book is for data scientists and machine learning engineers who have a background in machine learning, are practice and technology-oriented, and want to learn how to apply machine learning to streaming data through practical examples with modern technologies. Although an understanding of basic Python and machine learning concepts is a must, no prior knowledge of streaming is required.
Machine Learning for Streaming Data with Python
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 8h36m total length
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
Related Resources
Access Ready-to-Use Books for Free!
Get instant access to a library of pre-built books—free trial, no credit card required. Start training your team in minutes!