Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/5770
Title: Introduction to machine learning
Authors: Baştanlar, Yalın
Özuysal, Mustafa
Baştanlar, Yalın
Özuysal, Mustafa
Keywords: Machine learning
Dimensionality reduction
Classification
Clustering
Performance metrics
Regression
Issue Date: 2014
Publisher: Humana Press
Source: Baştanlar, Y., and Özuysal, M. (2014). Introduction to machine learning. Methods in Molecular Biology, 1107, 105-128. doi:10.1007/978-1-62703-748-8_7
Abstract: The machine learning field, which can be briefly defined as enabling computers make successful predictions using past experiences, has exhibited an impressive development recently with the help of the rapid increase in the storage capacity and processing power of computers. Together with many other disciplines, machine learning methods have been widely employed in bioinformatics. The difficulties and cost of biological analyses have led to the development of sophisticated machine learning approaches for this application area. In this chapter, we first review the fundamental concepts of machine learning such as feature assessment, unsupervised versus supervised learning and types of classification. Then, we point out the main issues of designing machine learning experiments and their performance evaluation. Finally, we introduce some supervised learning methods.
URI: http://doi.org/10.1007/978-1-62703-748-8_7
http://hdl.handle.net/11147/5770
ISSN: 1940-6029
1064-3745
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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