Distributed machine learning on public clouds

Machine learning (ML) aims to construct predictive models from example input data. Conventional ML systems like Caffe could have acceptable model training time on a single machine when dealing with a moderate amount of data. However, they may not be able to cope with very large training data sets, s...

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Bibliographic Details
Main Author: Lim, Ernest Woon Teng
Other Authors: Ta Nguyen Binh Duong
Format: Final Year Project
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/76892
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Institution: Nanyang Technological University
Language: English
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