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GRENZE International Journal of Engineering and Technology Vol. 10 (2024), Issue 2

Expanding the Knowledge on Machine Learning: Explainable Models for Smarter Decisions

Authors

Shreya Jha, Rajarshi Mondal, Niloy Avro Mondal, Debjit Mondal, Shreyashi Saha

Abstract

In this paper, our objective is to shed light on previously unexplored and overlooked aspects of explainable machine learning. We aim to illustrate the diverse domains where machine learning has quietly become a transformative force. Through an extensive survey, we delve into existing research and illuminate the potential avenues yet to be explored. In an era marked by technological advancement, machine learning has seamlessly integrated into nearly every facet of global activities. To remain abreast of these developments, it is imperative to deepen our understanding of this field. Our goal is to immerse ourselves in the realm of machine learning, leveraging this knowledge to undertake a significant project. Within these pages, readers will find a comprehensive overview of our survey findings alongside insights into our own future endeavors in this dynamic field.

Pages: 1131 - 1139