Mobile distributed machine learning system

• Main Author: Le Phuoc, Hoang Long
• Other Authors: Ta Nguyen Binh Duong, School of Computer Science and Engineering
• Format: Other/Unknown Material
• Language: English
• Published: 2018
• Subjects: DRNTU::Engineering::Computer science and engineering; Handle The; DML
• Online Access: http://hdl.handle.net/10356/74270

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. Bachelor of Engineering (Computer Science)