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.
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Paperback. Zustand: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9781966840688
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9781966840688
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