Principles and Theory for Data Mining and Machine Learning

"Principles and Theory for Data Mining and Machine Learning" is a specialized book that addresses the fundamental concepts and theories in the field of data mining and machine learning. The authors, who have extensive experience in research and teaching, have compiled their insights and methods from their time at the Statistics and Applied Mathematical Sciences Institute in North Carolina. This book offers a comprehensive analysis of the mathematical and statistical foundations necessary for understanding and applying data mining and machine learning. It is aimed at students, researchers, and professionals who wish to engage with these topics. The clear structure and well-founded approach make it a valuable reference work for anyone working in this dynamic and rapidly evolving field. The authors combine theoretical concepts with practical applications to foster a deep understanding of the subject matter.