Design of Experiments (DOE) has long been a cornerstone of innovation, enabling industries and researchers to optimize processes, improve product quality, and make data-driven decisions. From engineering and manufacturing to pharmaceuticals and materials science, DOE's application has been transformative. Yet, with artificial intelligence and data-driven tools, DOE is experiencing a revolution, opening new doors for adaptive experimentation and optimization.
In Mastering Design of Experiments: Principles, Applications, and Advanced Techniques with Python: Classic Methods, Modern Applications, and Machine Learning Integration is a comprehensive guide for professionals, students, and researchers seeking to bridge the gap between classical DOE techniques and modern AI-driven methodologies. This book is designed to provide readers with the foundational principles of DOE while introducing cutting-edge computational methods using Python, making it an indispensable resource for mastering experimentation in the 21st century.
By:
Francis Dakubo Imprint: Francis Dakubo Dimensions:
Height: 279mm,
Width: 216mm,
Spine: 55mm
Weight: 2.440kg ISBN:9781966840688 ISBN 10: 1966840683 Pages: 794 Publication Date:15 January 2025 Audience:
General/trade
,
ELT Advanced
Format:Paperback Publisher's Status: Active