Generic web-service client for cloud-based machine learning platforms – Mehmet Ali Rende
Mehmet Ali Rende
Master's thesis
Generic web-service client for cloud-based machine learning platforms
GENERIC WEB-SERVICE CLIENT FOR CLOUD-BASED MACHINE LEARNING PLATFORMS
Abstract:
The thesis consists of a full-stack web service application: the client-side application written with JavaScript / React Framework, the server-side application written with Python / Django REST Framework. The server listens to input and interactions on the user interface and sending responses back after analyses of the input. These two applications serve as a web service that compares different behaviors …moreAbstract:
The thesis consists of a full-stack web service application: the client-side application written with JavaScript / React Framework, the server-side application written with Python / Django REST Framework. The server listens to input and interactions on the user interface and sending responses back after analyses of the input. These two applications serve as a web service that compares different behaviors …more
Language used: English
Date on which the thesis was submitted / produced: 8. 10. 2019
Identifier:
https://vskp.vse.cz/eid/81186
Thesis defence
- Date of defence: 13. 1. 2021
- Supervisor: Tomáš Kliegr
- Reader: David Chudán
Citation record
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- autentizovaným zaměstnancům ze stejné školy/fakulty
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Vysoká škola ekonomická v Prazehttps://vskp.vse.cz/eid/81186
Vysoká škola ekonomická v Praze
Master programme / field:
Aplikovaná informatika / Information Systems Management
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