other · DR-NTU (Nanyang Technological University) · 2023
Learning machine learning
Chua, Beng Choon
Cited by 0Abstract and details only
Abstract
Machine learning is a rapidly advancing field that enables computers to learn from \ndata without explicit programming. Despite its potential for solving complex problems \nand achieving state-of-the-art performance, novice learners, including secondary \nschool students may find the fundamental concepts and theories of machine learning \nintimidating, which could discourage them from learning it. \nCurrently, there is a lack of educational tools and research for teaching machine \nlearning to this demographic. As such, this project aims to provide a comprehensive \nintroduction to basic machine learning concepts, with a focus on the problem of image \nclassification. The web application will make use of HTML, CSS, JavaScript, and \nTensorFlow.js to include explanations of basic concepts, visual and interactive \nexamples of relevant algorithms such as K-Nearest Neighbors and Neural Networks \nand guided live classification activities. Additionally, quizzes will also be provided to \nhelp learners reinforce their understanding in the topics that they have just learnt.
Cite this paper
Chua, B. C. (2023). Learning machine learning. DR-NTU (Nanyang Technological University).
Chua, Beng Choon. “Learning machine learning.” DR-NTU (Nanyang Technological University), 2023.
Chua, Beng Choon. 2023. “Learning machine learning.” DR-NTU (Nanyang Technological University).
Chua, B.C. (2023) ‘Learning machine learning’, DR-NTU (Nanyang Technological University).
@misc{chua2023learning,
title = {{Learning machine learning}},
author = {Chua, Beng Choon},
journal = {DR-NTU (Nanyang Technological University)},
year = {2023}
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