Contact
Comment faire ses achats
Livraison
Guide d'achat
Anglais
270 b
Livraison à Autriche
Jusqu'à 30 jours pour les retours
Les clients ont également acheté
/
Livre de poche
31.09
€
/
Livre de poche
17.95
€
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. Solutions presented in the book cover a range of parallelization platforms from FPGAs and GPUs to multi-core systems and commodity clusters, concurrent programming frameworks including CUDA, MPI, MapReduce and DryadLINQ, and learning settings (supervised, unsupervised, semi-supervised and online learning). Extensive coverage of parallelization of boosted trees, SVMs, spectral clustering, belief propagation and other popular learning algorithms and deep dives into several applications make the book equally useful for researchers, students and practitioners.
À propos du livre
Anglais
Offrez ce livre dès aujourd'hui
C’est simple
1 Ajouter au panier et choisir l'option Livrer comme cadeau à la caisse. 2 Nous vous enverrons un bon d'achat 3 Le livre arrivera à l'adresse du destinataireCeci pourrait également vous intéresser
/
Livre de poche
27.99
€
/
Livre de poche
15.39
€
/
Livre relié
90.79
€
/
Livre de poche
46.59
€
Bonjour ! Je suis Libroamiko, votre conseiller littéraire.
Comment puis-je vous aider ?