Practical machine learning for streaming data with Python : design, develop, and validate online learning models

Practical machine learning for streaming data with Python : design, develop, and validate online learning models / Sayan Putatunda.

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 insigh...

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Bibliographic Details
Main Author: Putatunda, Sayan (Author)
Format: eBook
Language:English
Published: [Berkeley] : Apress, [2021]
Subjects:
Machine learning.
Python (Computer program language)
Machine learning
Online Access:Click for online access
Table of Contents:
  • Chapter 1: An Introduction to Streaming Data
  • Chapter 2: Concept Drift Detection in Data Streams
  • Chapter 3: Supervised Learning for Streaming Data
  • Chapter 4: Unsupervised Learning and Other Tools for Data Stream Mining.

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