Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/74270
Title: Mobile distributed machine learning system
Authors: Le Phuoc, Hoang Long
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2018
Abstract: Distributed Machine Learning (DML) was introduced as a solution to solve the current big data problems in our digital world. With the drastic increase of data, running machine learning in a single machine is no longer optimal. Thus, we need a proper system to handle the complexity of the large amount of input data. In this project, we aim to provide a mobile distributed machine learning system which can be applicable to many different forms of model training and serving. Our goal was to reduce the hassle of implementing and deploying machine learning algorithms on cloud machines. Our system comprises of a back-end service which was developed to handle the distribution of machines on Amazon Web Service to run the request and a responsive web front-end which was built to interact with the end-users of the system. All in all, we hope this will be a useful and easy to use tool for data scientists and engineers.
URI: http://hdl.handle.net/10356/74270
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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