Scaling up machine learning: parallel and distributed approaches
Éditeur :
Cambridge University Press
ISBN :
9781108461740
Date de publication :
29 mars 2018
Dimensions :
25,6 x 18,0 x 2,6 cm
Poids :
1000 g
Format :
Trade paperback (US)
Langue :
Anglais
Pays d'origine :
Grande Bretagne
In many practical situations it is impossible to run existing machine learning methods on a single computer, because either the data is too large or the speed and throughput requirements are too demanding. Researchers and practitioners will find here a variety of machine learning methods developed specifically for parallel or distributed systems, covering algorithms, platforms and applications.