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Title: AI algorithms for the future world
Authors: Mohammed Yakoob Siyal 
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2021
Publisher: Nanyang Technological University
Source: Mohammed Yakoob Siyal (2021). AI algorithms for the future world. Final Year Project (FYP), Nanyang Technological University, Singapore.
Project: P3024-201
Abstract: This paper will primarily focus on the use of Artificial Intelligence (AI) through multiple supervised machine learning techniques such as the Decision Tree algorithm, Random Forests algorithm, Support Vector Machines (SVM) as well as Neural Network algorithm as classifiers to predict the results of randomly chosen actual England Championship matches in the 2020/2021 Season. Prior to the prediction, the selected datasets will be subjected to feature extraction and attribute measure selection techniques, and various types of classifiers will be trained and tested to fit the best model for predicting the results of a match based on the last five years (2016-2020) datasets of the England Championship Season matches statistics. Following that, the predicted accuracy of different types of classifiers will be evaluated and compared, as well as their advantages and drawbacks. Finally, we will foresee the future of Artificial Intelligence and machine learning with their practical applications.
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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