AI-Driven Modeling

Abstract

This chapter embarks on a comprehensive exploration of the dynamic landscape of AI-driven modeling, tracing the journey from conceptualization to practical implementation. The narrative unfolds by elucidating the foundational concepts underpinning AI-driven modeling, providing a nuanced understanding of the principles that drive its transformative power. From machine learning algorithms to deep neural networks, the chapter navigates through the diverse array of modeling techniques, offering insights into their strengths, limitations, and real-world applications. Moving beyond theoretical considerations, the chapter delves into the practical aspects of implementing AI-driven models. Through a series of case studies and examples, readers gain valuable insights into the intricacies of model development, training, and optimization. The exploration extends to model interpretation and explainability, addressing the critical need for transparency in AI-driven decision-making.