Paper Title

Unveiling Machine Learning Paradigms Through Adaptive Algorithms and Data-Driven Insights

Authors

Research Scholar

Keywords

Machine Learning Paradigms
Adaptive Algorithms
Data-Driven Insights
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Meta-Learning

Article Type

Research Article

Journal

International Journal of Engineering and Technology Research and Development

Issue

Volume : 6 | Issue : 1 | Page No : 15–19

Published On

January, 2025

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Abstract

The evolution of machine learning (ML) has ushered in a new era of data-driven decision-making, where adaptive algorithms play a pivotal role in harnessing complex datasets. This paper delves into the diverse paradigms of ML, emphasizing the significance of adaptive algorithms and the insights derived from data-centric approaches. By exploring the interplay between various learning paradigms and adaptive methodologies, we aim to provide a comprehensive understanding of how data-driven insights can be effectively utilized across different domains.