Springer Machine Learning in Industry - Engineering Book

Explore the practical application of advanced computational methods with Machine Learning in Industry by Springer. This comprehensive text covers essential techniques including artificial neural networks, support vector machines, rough set theory, and deep learning. By examining the differences between these methods, the book helps readers determine the best suitability for specific industrial applications. Designed for both academic researchers and industry professionals, this book bridges the gap between theory and practice. It features several case studies that demonstrate how to apply machine learning to solve real-world industrial problems. Whether you are studying management or industrial engineering, this resource provides the technical foundation needed to implement intelligent solutions in professional environments.