Data Analytics, Computational Statistics, and Operations Research for Engineers

Explore the fascinating intersection of data analytics, computational statistics, and operations research with the insightful book, Data Analytics, Computational Statistics, and Operations Research for Engineers. Authored by experts in the field and published by Taylor & Francis Ltd in 2022, this hardback edition spans 274 pages of in-depth analysis and practical applications.

This comprehensive guide delves into the critical role of data mining within computational statistics, particularly in the realm of machine learning. Readers will discover a wealth of applications across various domains, enhancing their understanding of how transformation functions can optimize problem statements. Perfect for engineers and data enthusiasts alike, this book is an essential resource for anyone looking to deepen their knowledge and skills in data analytics and operations research.