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

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
Other Authors: Putatunda, Sayan, author (author)
Format: eBook
Language:Inglés
Published: Berkeley, CA : Apress 2021.
Edition:1st ed. 2021.
Subjects:
Machine learning.
Programming languages (Electronic computers).
Machine Learning.
Programming Language.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631673206719
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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