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dc.contributor.advisorΤοκατλίδου, Αθηνά
dc.contributor.authorPapamanolioudakis, Nikolaos
dc.contributor.otherΠαπαμανολιουδάκης, Νικόλαος
dc.coverage.spatialΚύπροςel_GR
dc.date.accessioned2017-11-23T09:07:04Z
dc.date.available2017-11-23T09:07:04Z
dc.date.copyright2017
dc.date.issued2017
dc.identifier.otherΠΕΣ/2017/00274el_GR
dc.identifier.urihttp://hdl.handle.net/11128/3217
dc.descriptionIncludes bibliographical references.el_GR
dc.description.abstractThe current thesis is a first approach on Machine Learning from the writer with very fundamental knowledge on this subject. On the other hand the writer having a great experience on Databases considered the transition natural (albeit not a smooth one). Like history, Machine Learning looks on the past (in this case existing data) and attempts to predict future situations (based on new data) and likewise to fictional character Harry Seldon and his psychohistory on Isaac Asimov's best novel "Last Foundation" you cannot predict the notions and ideas of one person but you can predict how the masses will move even in the far future if the number of persons that are part of the under examination mass is sufficiently big. Generally speaking machine learning is the process which gives to machines/computers the possibility to learn without the intervention or explicit guidance of the developer.el_GR
dc.format.extent47 σ. 30 εκ.el_GR
dc.languageenel_GR
dc.language.isoenel_GR
dc.publisherΑνοικτό Πανεπιστήμιο Κύπρουel_GR
dc.rightsinfo:eu-repo/semantics/closedAccessel_GR
dc.subjectMachine learningel_GR
dc.titleMachine learning algorithms comparisonel_GR
dc.typeΜεταπτυχιακή Διατριβήel_GR
dc.description.translatedabstract-------el_GR
dc.format.typepdfel_GR


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