Μια εμπειρική σύγκριση, μελέτη και ενίσχυση αποδόσεων σε αλγόριθμους επιβλεπόμενης μηχανικής μάθησης με τη βοήθεια της R
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Keywords
Machine learning ; Supervised learning ; RAbstract
This thesis aims to describe the concepts and methods of machine learning with emphasis given on supervised learning. Initially, a literature review of the two categories of supervised learning is conducted (regression, classification) including the algorithms of those categories and then with the aid of the programming language R, those algorithms are applied to different datasets. In addition, the efficiency of the algorithms is being compared and their advantages and disadvantages are being studied. Finally, the conclusions that have been generated through the research are analyzed.
Postgraduate Studies Programme
Πληροφοριακά Συστήματα και ΥπηρεσίεςDepartment
Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Ψηφιακών ΣυστημάτωνNumber of pages
105Language
GreekCollections
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Attribution-NonCommercial-NoDerivatives 4.0 Διεθνές
Attribution-NonCommercial-NoDerivatives 4.0 Διεθνές