Description
Synergizing Machine Learning and Scientific Engineering is a comprehensive and interdisciplinary guide that bridges the gap between machine learning theory and its practical applications in core scientific and engineering domains.
This book explores how Machine Learning (ML) integrates with mathematics, physics, electronics, and electrical engineering to solve real-world problems efficiently. Designed for undergraduate and postgraduate students, researchers, academicians, and industry professionals, it provides both conceptual foundations and practical insights.
