Paper Title: AN OVERVIEW OF CONCEPTS AND TERMINOLOGY OF MACHINE LEARNING AND DEEP LEARNING
Author:
Awinash Singh¹
Guided By Dr Manoj Kumar²
1. Research Scholar, Department of Computer Science, Chaudhary Charan Singh University, Meerut, U.P.
2. Assistant Professor, Department of Computer Science, Chaudhary Charan Singh University, Meerut, U.P.
DOI Link (Crossref) Prefix: https://doi.org/10.63431/AIJITR/3.III.2026.31-40
AIJITR, Volume 3, Issue –III, May - June, 2026, PP.31-40
Received on 11th May, 2026 & Accepted on 21st May, 2026,
Published: 17th June, 2026
Abstract:
Machine learning and deep learning are changing the world and becoming critical components of it. Articles such as “Why Deep Learning is suddenly changing your life” by Forbes and “Are Computers Already Smarter than Humans?” by Time, demonstrate the impact these new technologies have on our lives today. Because machine learning is not only impacting the world, but is increasingly infiltrating our day-to-day lives, it is important to understand types of machine learning and what they do. Over the last decade of my career, my expertise has been in building scalable systems and data systems (big data & traditional). As I have grown my expertise in artificial intelligence (AI)/machine learning (ML), I have found many introductory resources exist for engineers; however, I’ve discovered an absence of simple, comprehensive introductory material for a broad audience. This paper presents an overview of machine learning, deep learning and their relationship for a general audience. After the introduction of concepts and terminology, an overview of the process of machine learning is given.
Keywords:Deep learning, artificial intelligence (AI), neural networks, RNN, CNN, machine learning 1.
DOI Link – https://doi.org/10.63431/AIJITR/3.III.2026.31-40
Review By – Dr. Shivalika Sarkar and Dr. Amit Adhikari
