AN OVERVIEW OF THE SUPERVISED MACHINE LEARNING METHODS.

Nasteski, Vladimir

In the last decade a large number of supervised learning methods have been introduced in the field of the machine learning. Supervised learning became an area for a lot of research activity in machine learning. Many of the supervised learning techniques have found application in their processing and analyzing variety of data. One of the main characteristics is that the supervised learning has the ability of annotated training data. The so called labels are class labels in the classification process. There is a variety of algorithms that are used in the supervised learning methods. This paper summarizes the fundamental aspects of couple of supervised methods. The main goal and contribution of this review paper is to present the overview of machine learning and provide machine learning techniques.

SUPERVISED learning; MACHINE learning; RESEARCH; ALGORITHMS; DATA analysis

Horizons Series B, 2017, Vol 4, p51

1857-8578

Academic Journal

10.20544/HORIZONS.B.04.1.17.P05