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Distributed Machine Learning and Gradient Optimization

Name: Distributed Machine Learning and Gradient Optimization
Brand: Springer Verlag, Singapore
SKU: 36337706
Price: 160.89 EUR
Availability: InStock
Author: Bin Cui
ISBN: 9789811634192

Bin Cui

Ce Zhang

Lingua

Inglese

Libro Rigido

Codice Libristo: 36337706

Casa editrice Springer Verlag, Singapore, febbraio 2022

This book presents the state of the art in distributed machine learning algorithms that are based on... Descrizione completa

Codice Libristo: 36337706

394 b

160.89 €

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This book presents the state of the art in distributed machine learning algorithms that are based on gradient optimization methods. In the big data era, large-scale datasets pose enormous challenges for the existing machine learning systems. As such, implementing machine learning algorithms in a distributed environment has become a key technology, and recent research has shown gradient-based iterative optimization to be an effective solution. Focusing on methods that can speed up large-scale gradient optimization through both algorithm optimizations and careful system implementations, the book introduces three essential techniques in designing a gradient optimization algorithm to train a distributed machine learning model: parallel strategy, data compression and synchronization protocol.Written in a tutorial style, it covers a range of topics, from fundamental knowledge to a number of carefully designed algorithms and systems of distributed machine learning. It will appeal to a broad audience in the field of machine learning, artificial intelligence, big data and database management.