Practical Machine Learning for Streaming Data with Python

"Practical Machine Learning for Streaming Data with Python" is a technical book aimed at data scientists and machine learning engineers who want to implement machine learning for streaming data. It provides a comprehensive introduction to the challenges and applications of streaming data in the real world. The book covers the fundamentals of the Scikit-Multiflow framework and offers practical guidance on developing, validating, and implementing models for streaming data using Python. Readers are guided through various algorithms for incremental and online learning and learn how to develop models for concept drift detection. Additionally, techniques for classification, regression, and ensemble learning in streaming data contexts are discussed. The book concludes with an overview of other open-source tools for streaming data, making it a valuable resource for anyone looking to work in this dynamic field.