A Review on Machine Learning Tools

被引：0

作者：

Kaytan, Mustafa ^{[1
]}

Aydilek, Ibrahim Berkan ^{[2
]}

机构：

[1] Harran Univ, Tekn Bilimler Meslek Yuksekokulu, Bilgisayar Teknol Bolumu, Bilgisayar Programciligi Programi, Sanliurfa, Turkey

[2] Harran Univ, Muhendisl Fak, Bilgisayar Muhendisligi, Sanliurfa, Turkey

来源：

2017 INTERNATIONAL ARTIFICIAL INTELLIGENCE AND DATA PROCESSING SYMPOSIUM (IDAP) | 2017年

关键词：

machine learning; neural net; big data; algorithm;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

It is observed that the number of applications in different areas by using Machine Learning (ML) methods are increased. A variety of tools are also used for these applications. The used tools are developed using various methods. Various software libraries, programming languages and algorithms are used for development of the tools. The used tools can be a variety of different features. So it is difficult to choose a tool for doing application. In this study, some of the current ML tools were investigated. A total of 14 ML tools were investigated in order to facilitate the selection within available tools. General characteristics of the examined tools are described. Similar and different characteristics of the tools have been seen. It is aimed to make choices within the some existing ML tools for to help researchers.

引用

页数：4

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