Distributed Machine Learning and Gradient Optimization

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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 itera...

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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 itera...

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  • Formats: pdf
  • ISBN: 9789811634208
  • Publication Date: 23 Feb 2022
  • Publisher: Springer Nature Singapore
  • Product language: English
  • Drm Setting: DRM