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Forecasting Model Utilization: Converting Knowledge Through Performance

Forecasting Model Utilization: Converting Knowledge Through Performance
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Author(s): V. Kavitha (Velalar College of Engineering and Technology, India), Kumar T. Suresh (A V S Engineering College, India), Priya T. S. Vishnu (Kongu Engineering College, India)and T. Kumaresan (Bannari Amman Institute of Technology, India)
Copyright: 2025
Pages: 26
Source title: AI Methods for Environmental Protection and Resource Conservation
Source Author(s)/Editor(s): Monia Ben Ltaifa (College of Community in Abqaiq, King Faisal University, Saudi Arabia)and Abdelkader Mohamed Sghaier Derbali (Taibah University, Saudi Arabia)
DOI: 10.4018/979-8-3373-3246-8.ch010

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Abstract

In a variety of areas, prediction models have emerged as essential equipment that facilitate decision-making, improve procedures, and improve results. This chapter explores the use of machine learning models and predictive analytics in a variety of fields, such as environmental science, healthcare, finance, and education. It looks at how these models use data from the past to predict future trends, spot patterns, and make well-informed choices. Examples from the real world are shown, highlighting their groundbreaking implications in fields including climate predictions, stock market analysis, disease detection, and individualized education. Issues including data privacy, ethical concerns, and the requirement for model interpretability are also covered in this chapter. By the end, readers will have a thorough grasp of prediction models' capabilities and restraints as well as their critical role in shaping a data-driven future.

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