@inproceedings{90ae24d07f3e4c72be0523b3f8b575f5,
title = "Supervised and Unsupervised Machine Learning Algorithms: An Empirical Evaluation",
abstract = "Machine Learning (ML) algorithms are a subset of artificial intelligence that are applied to data with a primary focus of improving its accuracy over time by replicating and imitating the learning styles of human beings. Within this framework, several supervised and unsupervised learning algorithms are studied through different scenarios. The advantages and disadvantages of these algorithms are analysed through these case studies.",
author = "Rajarajan Rajkumar and Li Zhang and Vivian Sedov and Kamlesh Mistry",
year = "2024",
month = jul,
day = "30",
doi = "10.1142/9789811294631_0038",
language = "English",
isbn = "978-981-12-9462-4",
series = "World Scientific Proceedings Series on Computer Engineering and Information Science",
pages = "299--306",
booktitle = "Intelligent Management of Data and Information in Decision Making",
}