
Machine Learning for Data Streams
with Practical Examples in MOA
$97.09
- Paperback
288 pages
- Release Date
9 May 2023
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.




