Machine learning and deep learning

21Citations
Citations of this article
288Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Now-a-days artificial intelligence has become an asset for engineering and experimental studies, just like statistics and calculus. Data science is a growing field for researchers and artificial intelligence, machine learning and deep learning are roots of it. This paper describes the relation between these roots of data science. There is a need of machine learning if any kind of analysis is to be performed. This study describes machine learning from the scratch. It also focuses on Deep Learning. Deep learning can also be known as new trend of machine learning. This paper gives a light on basic architecture of Deep learning. A comparative study of machine learning and deep learning is also given in the paper and allows researcher to have a broad view on these techniques so that they can understand which one will be preferable solution for a particular problem.

Cite

CITATION STYLE

APA

Chahal, A., & Gulia, P. (2019). Machine learning and deep learning. International Journal of Innovative Technology and Exploring Engineering, 8(12), 4910–4914. https://doi.org/10.35940/ijitee.L3550.1081219

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free