Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/157896
Title: AI test bed for real business applications
Authors: Foo, Xue Yun
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Foo, X. Y. (2022). AI test bed for real business applications. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157896
Project: A3158-211
Abstract: Artificial Intelligence (AI) has been receiving increasing interest. Thus, Machine Learning (ML) which is a subfield of AI, has also been an increasingly popular topic among businesses who are interested in incorporating ML into their daily business processes. With the help of ML, businesses are provided with useful insights into their business operations which aid companies in making more informed business decisions. Thus, it is vital to provide more information on ML to businesses interested in adopting AI and ML into their daily operations and processes. The main purpose of the project was to create an AI test bed for real world businesses. Hence, the project explored and tested four ML models and algorithms to create an AI test bed for businesses. Different hyperparameters of Logistic Regression, Random Forest, LSTM and ARIMA algorithm were tuned to train prediction models which will be used to demonstrate how ML can be used in businesses.
URI: https://hdl.handle.net/10356/157896
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
FYP_Final_Report_Foo_Xue_Yun.pdf
  Restricted Access
1.68 MBAdobe PDFView/Open

Page view(s)

60
Updated on Sep 27, 2023

Download(s)

11
Updated on Sep 27, 2023

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.