API for skin disease classification using structured, text and image data in cloud CI pipeline

dc.contributor.author	Prystasz, Kajetan
dc.date.accessioned	2023-01-02T10:11:31Z
dc.date.available	2023-01-02T10:11:31Z
dc.date.issued	2023-01-02
dc.identifier.issn	2021/M/DS/19
dc.identifier.uri	https://repin.pjwstk.edu.pl/xmlui/handle/186319/2057
dc.description.abstract	The purpose of this thesis was presenting an API for skin disease classification using structured, text and image data in Cloud CI pipeline. Starting from first chapter, thesis acquits with Machine Learning field in reference to different data types. Subsequently, it illustrates an issue of CI in Cloud environment and its use in created application. Finally, describe results of prepared models.	pl_PL
dc.language.iso	en	pl_PL
dc.relation.ispartofseries	;Nr 6307
dc.subject	Structured Data	pl_PL
dc.subject	NLP	pl_PL
dc.subject	Computer Vision	pl_PL
dc.subject	Deep Learning	pl_PL
dc.subject	REST API	pl_PL
dc.subject	Cloud CI/CD	pl_PL
dc.title	API for skin disease classification using structured, text and image data in cloud CI pipeline	pl_PL
dc.title.alternative	API do klasyfikacji chorób skóry za pomocą danych ustrukturyzowanych, testu oraz obrazu w Chmurowym środowisku CI	pl_PL
dc.type	Thesis	pl_PL