A Study on machine learning techniques and their applications in modern technology
Machine Learning, Artificial Intelligence, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Predictive Analytics, Intelligent Systems, Data-Driven Decision Making.
Machine Learning (ML) has emerged as
one of the most influential technologies in
the modern era of computing and artificial
intelligence. It enables computers and
intelligent systems to automatically learn
from data, recognize patterns, and improve
their performance without being explicitly
programmed.
Traditional
computer
programs require detailed instructions to
perform specific tasks, whereas machine
learning systems use algorithms that allow
them to learn from previous experiences
and adapt to new information. This ability
makes machine learning highly effective in
solving complex problems that involve
large amounts of data.
The rapid growth of digital technologies
has resulted in an enormous increase in the
amount of data generated worldwide.
Organizations across various industries rely
on machine learning techniques to analyze
this data, extract meaningful insights, and
make accurate predictions. Machine
learning is widely applied in fields such as
healthcare,
finance,
transportation,
education, marketing, and social media. For
instance, it helps doctors detect diseases at
early stages, assists banks in identifying
fraudulent transactions, and enables online
platforms to recommend products and
services based on user preferences.
This study focuses on understanding the
fundamental concepts of machine learning,
examining
the
different
learning
techniques, and exploring the real-world
applications of machine learning systems.
The research also highlights the advantages
and future potential of machine learning
technologies.
By
studying
machine
learning techniques and their impact on
modern technology, this research aims to
demonstrate how intelligent systems can
improve efficiency, productivity, and
decision-making processes in various
sectors.
Registration ID: IJVRA_701494 Published ID: IJVRA2603364
"A Study on machine learning techniques and their applications in modern technology", IJVRA - International Journal of Versatile Research and Analysis (www.IJVRA.org), ISSN:2984-8903, Vol.4, Issue 3, page no.758-762, March-2026, Available :https://ijpub.org/ijvra/papers/IJVRA2603364.pdf
Paper Reg. ID: IJVRA_701494
Published Paper Id: IJVRA2603364
Research Area: Science All
Country: Coimbatore, Tamil Nadu, India
ISSN: 2984-8903 | IMPACT FACTOR: 9.12 Calculated By Google Scholar | ESTD YEAR: 2023
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