Scaling up machine learning

"This book presents an integrated collection of representative approaches for scaling up machine learning and data mining methods on parallel and distributed computing platforms. Demand for parallelizing learning algorithms is highly task-specific: in some settings it is driven by the enormous dataset sizes, in others by model complexity or by real-time performance requirements. Making task-appropriate algorithm and platform choices for large-scale machine learning requires understanding the benefits, trade-offs, and constraints of the available options"--

שנה

2011

שפה

English

הוצאה

Cambridge University Press

מהדורות

1

עמודים

475

ISBN

9780521192248

מקור הנתונים: Wikidata