A review on machine learning and IT's algorithms
Kashif Naseer Qureshi
- Year
- 2021
- Citations
- 2
Abstract
As technologies is conquering every current sector in today's day. Machine Learning has emerged amongst one of the most challenging and most utilized technologies globally. Machine Learning is essentially training computers to do the real-time tasks without human involvement. There have been numerous innovations and advancements in deep learning which has also affected human life. Machine Learning has its implications in many sectors such as medical, business, finance, robotics, engineering or several more domains. Machine Learning algorithms of many kinds are available which are utilized in different models. These algorithms play essential part in every model or project they are utilized. All these implementations, types and methods have been covered in this article. This article provides overview of machine learning as well as its algorithms. It outlines how deep learning is anticipated to dominate every current sector. It also discusses what are all the expectations of future from machine learning in approaching time period or how it is going to develop human life.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002