Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	Januar 2025
Genre:	EDV / Informatik
ISBN:	9781966840688
EAN-Code:	9781966840688
Verlag:	Francis Dakubo
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 280 mm / B 216 mm / D 51 mm
Gewicht:	2918 gr
Seiten:	794
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.