Enhance your technical library with Machine Learning in Data Processing by Xiang-Sheng Wang. This comprehensive hardback volume explores the intersection of advanced machine learning algorithms and contemporary data processing methodologies. Designed for data scientists, researchers, and engineers, this text provides a clear, scholarly approach to understanding how automated learning models can optimize complex data pipelines and analytical workflows. Readers will gain deep insights into the theoretical frameworks and practical applications necessary for modern data-driven environments. This book serves as an essential reference for professionals and students seeking to master the mathematical and computational principles that underpin today's data processing challenges. Summary: Machine Learning in Data Processing by Xiang-Sheng Wang, hardback edition published by Springer Nature Switzerland AG, focusing on data science, machine learning algorithms, and advanced data processing techniques.