Items related to Distributed Machine Learning and Gradient Optimization

Distributed Machine Learning and Gradient Optimization - Softcover

 
9789811634215: Distributed Machine Learning and Gradient Optimization

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Synopsis

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.


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Other Popular Editions of the Same Title

9789811634192: Distributed Machine Learning and Gradient Optimization (Big Data Management)

Featured Edition

ISBN 10:  981163419X ISBN 13:  9789811634192
Publisher: Springer, 2022
Hardcover