Practical Machine Learning for Streaming Data with Python: Design, Develop, and Validate Online Learning Models - Sayan Putatunda - Books - APress - 9781484268667 - April 9, 2021
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Sayan Putatunda
Practical Machine Learning for Streaming Data with Python: Design, Develop, and Validate Online Learning Models 1st edition

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Design, develop, and validate machine learning models with streaming data using the Scikit-Multiflow framework. This book is a quick start guide for data scientists and machine learning engineers looking to implement machine learning models for streaming data with Python to generate real-time insights. 

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.

What You'll Learn

  • Understand machine learning with streaming data concepts
  • Review incremental and online learning
  • Develop models for detecting concept drift
  • Explore techniques for classification, regression, and ensemble learning in streaming data contexts
  • Apply best practices for debugging and validating machine learning models in streaming data context
  • Get introduced to other open-source frameworks for handling streaming data.

Who This Book Is For
Machine learning engineers and data science professionals

118 pages, 16 Illustrations, black and white; XVI, 118 p. 16 illus.

Media Books     Paperback Book   (Book with soft cover and glued back)
Released April 9, 2021
ISBN13 9781484268667
Publishers APress
Pages 118
Dimensions 150 × 220 × 10 mm   ·   219 g
Language English  

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