Using Machine Learning Techniques for optimizing Research and Development in Irish Businesses

Moody, Conor (2023) Using Machine Learning Techniques for optimizing Research and Development in Irish Businesses. Masters thesis, Dublin, National College of Ireland.

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Abstract

Machine Learning is increasingly allowing businesses to gain greater insight into the metrics that impact their performance. This project looked at the Annual Business Survey of Economic Impact (ABSEI), which is distributed to thousands of businesses throughout Ireland. The relative obscurity of this dataset in the academic field posed challenges and opportunities for exploratory analysis. By looking at different implementation methods, this project attempted to estimate the appropriate amount of spend on Research & Development that a company should invest in. As the dataset contained data spread over 23 years, the time series potential of a Recurrent Neural Network with Long Short-Term Memory was utilised. A Feed Forward Neural Network was also looked at due to the regression elements of the project. Finally, a Linear Regression model completed the comparisons, and the 3 models achieved a good fit, allowing for a greater understanding of the dataset that will better serve Irish businesses in the future.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Basilio, Jorge UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Tamara Malone
Date Deposited:	29 Nov 2024 15:44
Last Modified:	29 Nov 2024 15:44
URI:	https://norma.ncirl.ie/id/eprint/7216

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