Open AccessMACHINE LEARNING: AN OVERVIEW
Author(s) -
Adya Trisal,
Dheeraj Mandloi
Publication year - 2021
Publication title -
international journal of research - granthaalayah
Language(s) - English
Resource type - Journals
eISSN - 2394-3629
pISSN - 2350-0530
DOI - 10.29121/granthaalayah.v9.i7.2021.4120
Subject(s) - computer science , machine learning , artificial intelligence , field (mathematics) , point (geometry) , data science , mathematics , geometry , pure mathematics
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.