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dc.contributor.authorSilahtaroğlu, Gökhan
dc.contributor.authorDinçer, Hasan
dc.contributor.authorYüksel, Serhat
dc.date.accessioned2022-10-20T07:53:56Z
dc.date.available2022-10-20T07:53:56Z
dc.date.issued2021en_US
dc.identifier.citationSilahtaroğlu, G., Dinçer, H. ve Yüksel, S. (2021). Introduction to data science and machine learning algorithms. Multiple Criteria Decision Making içinde (1-15. ss.). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-74176-1_1en_US
dc.identifier.issn2366-0023
dc.identifier.urihttps://doi.org/10.1007/978-3-030-74176-1_1
dc.identifier.urihttps://hdl.handle.net/20.500.12511/9853
dc.description.abstractData science has gained importance since available data and hardware facilities have been ubiquitous. Algorithms to process a huge amount of data and extract information were developed decades ago. However, due to the lack of high-capacity computers, it was not possible to use them on real-life data and problems. Today, from finance to medicine data science plays an important role to solve problems. Suffice it to say, machine learning algorithms are the core of this new phenomenon besides data itself. Artificial neural networks, deep learning, Support Vector Machines, Decision Tree Learning Models, and related algorithms have been used successfully and yielded very important results recently. On the other hand, text data have also gained importance being the fuel of machine learning in data science. Especially the emergence of social media and communication technology contributed to the popularity of texts in data science. In this chapter, concise introductions have been given about the most popular and also successful machine learning algorithms. This chapter will be helpful for those readers who do not have enough information about machine learning and its algorithms.en_US
dc.language.isoengen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial Neural Networksen_US
dc.subjectData Scienceen_US
dc.subjectDecision Treesen_US
dc.subjectDeep Learningen_US
dc.subjectSupport Vector Machinesen_US
dc.subjectText Miningen_US
dc.titleIntroduction to data science and machine learning algorithmsen_US
dc.typebookParten_US
dc.relation.ispartofMultiple Criteria Decision Makingen_US
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümüen_US
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Yönetim Bilişim Sistemleri Bölümüen_US
dc.authorid0000-0001-8863-8348en_US
dc.authorid0000-0002-8072-031Xen_US
dc.authorid0000-0002-9858-1266en_US
dc.identifier.startpage1en_US
dc.identifier.endpage15en_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.identifier.doi10.1007/978-3-030-74176-1_1en_US
dc.institutionauthorSilahtaroğlu, Gökhan
dc.institutionauthorDinçer, Hasan
dc.institutionauthorYüksel, Serhat
dc.identifier.scopus2-s2.0-85139050165en_US


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