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Practical Machine Learning for Streaming Data with Python: Design, Develop, and Validate Online Models
Barnes and Noble
Practical Machine Learning for Streaming Data with Python: Design, Develop, and Validate Online Models
Current price: $64.99
Barnes and Noble
Practical Machine Learning for Streaming Data with Python: Design, Develop, and Validate Online Models
Current price: $64.99
Size: Paperback
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You'll start with an introduction to streaming data, the various challenges associated with it, some of its real-world business applications, and various windowing techniques. You'll then examine incremental and online learning algorithms, and the concept of model evaluation with streaming data and get introduced to the Scikit-Multiflow framework in Python. This is followed by a review of the various change detection/concept drift detection algorithms and the implementation of various datasets using Scikit-Multiflow.
Introduction to the various supervised and unsupervised algorithms for streaming data, and their implementation on various datasets using Python are also covered. The book concludes by briefly covering other open-source tools available for streaming data such as Spark, MOA (Massive Online Analysis), Kafka, and more.