A Comparative Study of Machine Learning and Deep Learning Models: Strengths, Limitations, and Applications
Year: 2024
Type: article
Abstract: Machine Learning (ML) and Deep Learning (DL) have revolutionized the field of Artificial Intelligence (AI) by enabling systems to learn from data and make intelligent decisions.This paper presents an in-depth analysis of various ML and DL models, comparing their architectures, applications, strengths, and limitations.By exploring the theoretical foundations and practical applications, we aim to provide a comprehensive understanding of these paradigms, particularly in domains such as computer vision, natural language processing, healthcare, and autonomous systems.
Author: Naveen Kumari
Institution: Punjabi University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4411556331