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{ "item_title" : "Mastering Design of Experiments", "item_author" : [" Francis Dakubo "], "item_description" : "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/96/684/068/1966840683_b.jpg", "price_data" : { "retail_price" : "124.99", "online_price" : "124.99", "our_price" : "124.99", "club_price" : "124.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Mastering Design of Experiments|Francis Dakubo

Mastering Design of Experiments : Principles, Applications, and Advanced Techniques with Python

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Overview

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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Details

  • ISBN-13: 9781966840688
  • ISBN-10: 1966840683
  • Publisher: Francis Dakubo
  • Publish Date: January 2025
  • Dimensions: 11 x 8.5 x 2.16 inches
  • Shipping Weight: 5.38 pounds
  • Page Count: 794

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