Overview of Machine Learning Algorithms

Abstract

Machine learning has attracted tremendous attention in computer autonomous learning at present. Many intelligent applications can be realized by combining big data, machine learning and large computing power. In this paper, we present the basic concepts of machine learning, and explain the important characteristics and evaluation indexes. Then, introduce three typical algorithms of typical KNN, decision tree and random forest. Next, we show the basic principles of the three algorithms by describing the process. At last, we give a conclusion and show the future research of machine learning.