Machine Learning Aspects and its Applications Towards Different Research Areas

Abstract

Machine learning is a branch of artificial intelligence that aims at enabling machines to perform their jobs skillfully by using intelligent software. The statistical learning methods constitute the backbone of intelligent software that is used to develop machine intelligence. Now a Day, a huge increase in demand for machine learning has been seen with the great number of available datasets. The knowledge acquisition mechanizing from experience improvement using computational methods comes under machine learning. There is need of knowledge specific to the domain by expert performance and number of AI expert systems has been produced by knowledge engineering. Its regular use has been seen in the industry in different domains. Due to the increase in use and applicability of machine learning, the systematic review on various aspects related to it has been presented in this paper. The paper started with giving a brief description of machine learning, and the use of different models of machine learning. The various types of machine learning algorithms that are used for various purposes like data mining, predictive analytics, image processing etc. has also presented in the comprehensive review. We have also given a review of different work done by various researchers in different application areas. It covered the use of machine learning in medical, social media, Travelling and robotics. The primary purpose behind its popularity in the different application is its ability to learn once and then it works automatically for any same type of data or input given to it.