A Basic and Brief Scheme of an Application of a Machine Learning Process

Year 2017, Volume: 1 Issue: 1, 16 - 22, 31.12.2017

Ömer Faruk Ertuğrul Mehmet Emin Tağluk Yılmaz Kaya

Abstract

Machine learning methods are powerful tools in modeling systems or extracting knowledge about a phenomenon from samples. This paper is written in order to make the process of machine learning clearer. Therefore, the reason behind the usage of each stage of this process was given briefly. Later, Highleyman dataset was employed in tests in ML methods.

Keywords

Machine learning, Cross-validation, Feature extraction, Feature selection

Yapay Öğrenme Metodolojisinin Tanıtımı

Abstract

 

Keywords

Yapay öğrenme, Çapraz Doğrulama, Özellik çıkarma, Özellik seçme

References

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