Year: 2025
Type: article
Abstract: ABSTRACT Machine learning (ML) is a branch of artificial intelligence focused on the development of algorithms and statistical models that enable computer systems to perform specific tasks without explicit programming. ML algorithms are widely used in everyday applications. For instance, when using a web search engine like Google, a learning algorithm plays a crucial role in ranking web pages based on relevance. Beyond search engines, ML is applied in various domains such as data mining, image processing, and predictive analytics. One of its key advantages is the ability to automate tasks once the algorithm has been trained on relevant data. This paper provides a brief review of machine learning applications and explores future prospects in this rapidly evolving field.
DOI: 10.55041/ijsrem49303
Author: Dr.Saurabh Saxena
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4410954445