An Introduction to Digital Twin and Big Data Analytics
El-Amin, Mohamed F. Kabbaj, Narjisse
El-Amin, Mohamed F.
Kabbaj, Narjisse
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Supervisor
Date
2024-06-30
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Abstract
This chapter provides a comprehensive overview of quantitative analysis techniques, focusing on statistical modeling, machine learning, and deep learning, and their pivotal roles in big data analytics. It focuses on the methodologies and applications of these techniques, highlighting how they enable the extraction of meaningful insights from vast datasets. Additionally, the chapter explores predictive analysis and predictive modeling, demonstrating their significance in forecasting trends, making informed decisions, and optimizing outcomes in various domains. By bridging theoretical foundations with practical applications, this chapter aims to equip readers with the knowledge and skills necessary to harness the power of quantitative analysis in the era of big data.
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Book title
Mathematical Modelling for Big Data Analytics