Machine Learning for Data Streams by Albert Bifet - ISBN: 9780262547833
Paperback
Mine fast-moving data now, using practical machine learning techniques.

Machine Learning for Data Streams

with Practical Examples in MOA

$97.09

  • Paperback

    288 pages

  • Release Date

    9 May 2023

Check Delivery Options

Summary

A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework.

Today many information sources-including sensor networks, financial markets, social networks, and healthcare monitoring-are so-called data streams, arriving sequentially and at high speed. Analysis must take place in real time, with partial data and without the capacity to store the entire data set. This book presen…

Book Details

ISBN-13:9780262547833
ISBN-10:026254783X
Author:Albert Bifet, Ricard Gavalda, Geoffrey Holmes, Bernhard Pfahringer
Publisher:MIT Press Ltd
Imprint:MIT Press
Format:Paperback
Number of Pages:288
Release Date:9 May 2023
Weight:369g
Dimensions:229mm x 178mm
Series:Adaptive Computation and Machine Learning series
About The Author

Albert Bifet

Albert Bifet is Professor of Computer Science at Telecom ParisTech.

Ricard Gavald is Professor of Computer Science at the Politècnica de Catalunya, Barcelona.

Geoff Holmes is Professor and Dean of Computing at the University of Waikato in Hamilton, New Zealand.

Bernhard Pfahringer is Professor of Computer Science at the University of Auckland, New Zealand.

Returns

This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.