Paper Title

AN EXTENSIVE INVESTIGATION INTO ADVANCED DATA SCIENCE METHODOLOGIES, MACHINE LEARNING ALGORITHMS, STATISTICAL INFERENCE, BIG DATA ANALYTICS, AND THEIR APPLICATIONS IN MODERN COMPUTATIONAL ENVIRONMENTS FOR ENHANCED DECISION MAKING AND PREDICTIVE MODELING ACROSS MULTIPLE DOMAINS

Authors

mj iaeme

Keywords

Data Science
Machine Learning
Statistical Inference
Big Data Analytics
Predictive Modeling
Decision-Making

Article Type

Research Article

Journal

Frontiers in Engineering and Technology

Issue

Volume : 3 | Issue : 1 | Page No : 1-7

Published On

January, 2022

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Abstract

Data science has emerged as a multidisciplinary field that integrates advanced methodologies, machine learning algorithms, statistical inference, and big data analytics to drive intelligent decision-making across various domains. The increasing volume, variety, and velocity of data necessitate sophisticated analytical frameworks to derive meaningful insights. This paper explores cutting-edge advancements in data science and examines their applications in predictive modeling, optimization, and real-time analytics. We discuss major contributions in statistical modeling, machine learning, and big data technologies and analyze their impact on various sectors, including healthcare, finance, and social sciences. The study also highlights challenges associated with scalability, interpretability, and ethical considerations in data-driven decision-making.