Bekkerman (14 Ergebnisse)

Paperback. Zustand: Very good. Paperback. 72pp. Lightly rubbed and edgeworn, else very good. Text in English and Russian.

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1100grams, ISBN:9780521192248. …

Pub. Glazed Pictorial Boards. Zustand: As New. First. 108pp. Colour & b&w illustrations. Bekkerman has written a gift inscription on the contents page.

Softcover/Paperback. Zustand: Fair. Privedeny svedeniya ob osnovnykh materialakh, primenyaemykh v grafike, zhivopisi, skulpture; opisany krasochnye sostavy, pigmenty, klei, laki, plastmassy, metally, drevesina i dr. v sootvetstvii s programmoj Materialovedenie dlya ispolnitelej khudozhestvenno-oformitelskikh rabot.…

hardcover. Zustand: fine. near fine. Abundantly illustrated in color with few in black and white. 4to, glossy pictorial boards, d.w. Hagen: Osthaus Museum, (2022). Fine in a near fine dust wrapper. Edward Bekkerman (illustrator).

Zustand: New. In English.

Zustand: Buone. inglese Condizioni dell'esterno: Buone Condizioni dell'interno: Buone.

Zustand: New. 2018. Reprint. Paperback. . . . . . Books ship from the US and Ireland.

Paperback. Zustand: Brand New. 1st reprint edition. 492 pages. 9.88x7.01x1.50 inches. In Stock.

Zustand: New. In English.

Zustand: New. This integrated collection covers a range of parallelization platforms, concurrent programming frameworks and machine learning settings, with case studies. Editor(s): Bekkerman, Ron; Bilenko, Mikhail; Langford, John. Num Pages: 492 pages, 144 b/w illus. BIC Classification: UYQM; UYQP. Category: (U) Tertiary Education (US: College). Dimension: 256 x 185 x 31. Weight in Grams: 1078. . 2012. Illustrated. hardcover. . . . . Books ship from the US and Ireland. …

Hardcover. Zustand: Brand New. 488 pages. 10.00x7.20x1.30 inches. In Stock.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

8° quer (21,5 x 23 cm); farbig illustr. OKart.; 72 Seiten mit überwiegend farbigen ganzs. Tafeln; Text Englisch und Russisch; mit fünfzeiliger, datierter handschriftl. Widmung des Künstlers auf Innendeckel; Exemplar leicht angestoßen und berieben, aber sauber.