MACHINE LEARNING: APPLICATIONS, TECHNIQUES AND CURRENT SCENARIO

Abstract

Machine Learning (ML) used in day-to-day life. ML can use data and use it for self-learning. It is widely used in many fields like finance, agriculture, education, and security, etc. This paper discusses the potential of utilizing machine learning technologies in various sector.ML categorized in mainly four Learning process. Supervised learning which contains labelled data where unsupervised learning includes unlabelled data. Semisupervised learning is a combination of supervised and unsupervised learning. The reinforcement learning algorithm is learned by receiving feedback on the effect of modifying some parameters. We can study in detail with different techniques and different methods and also check which algorithm is more accurate in less runtime. This paper summarizes some application of machine learning such as prediction, disease detection, fraud detection and more. This paper helps in reducing the research gap for ML applications.