Isbn: 9781108461740 - scaling up machine learning: parallel and distributed approaches

Paperback. Condición: new. Paperback. 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. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Scaling Up Machine Learning: Parallel and Distributed Approaches

Bekkerman, Ron

Idioma: Inglés

Editorial: CAMBRIDGE, 2018

1108461743 / 9781108461740

Tapa blanda
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Librería: moluna, Greven, Alemaniamoluna

Vendedor de 5 estrellas

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Condición: Nuevo

EUR 68,61

Envío por EUR 48,99

Se envía de Alemania a Estados Unidos de America

Cantidad disponible: Más de 20 disponibles

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 vari.…

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Scaling Up Machine Learning : Parallel and Distributed Approaches

Scaling up Machine Learning: Parallel and Distributed Approaches

Scaling Up Machine Learning : Parallel and Distributed Approaches

Scaling Up Machine Learning: Parallel and Distributed Approaches

Scaling Up Machine Learning : Parallel and Distributed Approaches

Scaling up Machine Learning: Parallel and Distributed Approaches

Scaling Up Machine Learning: Parallel and Distributed Approaches

Scaling Up Machine Learning : Parallel and Distributed Approaches

Scaling Up Machine Learning

Scaling Up Machine Learning: Parallel and Distributed Approaches

Scaling up Machine Learning: Parallel and Distributed Approaches

Scaling up Machine Learning: Parallel and Distributed Approaches

Scaling up Machine Learning: Parallel and Distributed Approaches

Scaling Up Machine Learning

Scaling up Machine Learning (Paperback)

Scaling Up Machine Learning: Parallel and Distributed Approaches