MACHINE LEARNING: AN OVERVIEW

Adya  Trisal; Dheeraj Mandloi

doi:10.29121/granthaalayah.v9.i7.2021.4120

Authors

Adya Trisal Department of Computer Engineering, Institute of Engineering and Technology, Devi Ahilya University, Indore, India
Dr. Dheeraj Mandloi Department of Applied Sciences, Institute of Engineering and Technology, Devi Ahilya University, Indore https://orcid.org/0000-0002-6099-5754

DOI:

https://doi.org/10.29121/granthaalayah.v9.i7.2021.4120

Keywords:

Algorithms, Artificial Intelligence, Machine learning, Reinforcement Learning, Supervised Learning, Unsupervised Learning

Abstract [English]

Given the tremendous availability of data and computer power, there is a resurgence of interest in using data driven machine learning methods to solve issues where traditional engineering solutions are hampered by modeling or algorithmic flaws. The purpose of this article is to provide a comprehensive review of machine learning, including its history, types, applications, limitations and future prospects. In addition to this, the article also discusses the main point of difference between the field of artificial intelligence and machine learning.

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