Practical Machine Learning for Streaming Data with Python: Design, Develop, and Validate Online Learning Models

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Practical Machine Learning for Streaming Data with Python: Design, Develop, and Validate Online Learning Models Front Cover

Practical Machine Learning for Streaming Data with Python: Design, Develop, and Validate Online Learning Models

by Sayan Putatunda
  • Length: 134 pages
  • Edition: 1
  • Publisher: Apress
  • Publication Date: 2021-04-23
  • ISBN-10: 1484268660
  • ISBN-13: 9781484268667
  • Sales Rank: #24053456 (See Top 100 Books)
Description

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

Practical Machine Learning for Streaming Data with Python: Design, Develop, and Validate Online Learning Models

 

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