Introduction to data science and machine learning algorithms

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dc.authorid0000-0001-8863-8348
dc.authorid0000-0002-8072-031X
dc.authorid0000-0002-9858-1266
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.issued2021
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Yönetim Bilişim Sistemleri Bölümü
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.
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_1
dc.identifier.doi10.1007/978-3-030-74176-1_1
dc.identifier.endpage15
dc.identifier.issn2366-0023
dc.identifier.scopus2-s2.0-85139050165
dc.identifier.scopusqualityN/A
dc.identifier.startpage1
dc.identifier.urihttps://doi.org/10.1007/978-3-030-74176-1_1
dc.identifier.urihttps://hdl.handle.net/20.500.12511/9853
dc.indekslendigikaynakScopus
dc.institutionauthorSilahtaroğlu, Gökhan
dc.institutionauthorDinçer, Hasan
dc.institutionauthorYüksel, Serhat
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofMultiple Criteria Decision Makingen_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectArtificial Neural Networks
dc.subjectData Science
dc.subjectDecision Trees
dc.subjectDeep Learning
dc.subjectSupport Vector Machines
dc.subjectText Mining
dc.titleIntroduction to data science and machine learning algorithms
dc.typeBook Chapter

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