Chang | Critical Thinking and Creative Analogies in Statistics, Science, and Technology | Buch | 978-1-041-04382-9 | sack.de

Buch, Englisch, 352 Seiten, Format (B × H): 156 mm x 234 mm

Chang

Critical Thinking and Creative Analogies in Statistics, Science, and Technology

Essential Skills for the AI Era
1. Auflage 2025
ISBN: 978-1-041-04382-9
Verlag: CRC Press

Essential Skills for the AI Era

Buch, Englisch, 352 Seiten, Format (B × H): 156 mm x 234 mm

ISBN: 978-1-041-04382-9
Verlag: CRC Press


Through the lens of critical thinking and creative analogy, this book skillfully blends mainstream perspectives with bold, thought-provoking personal insights, offering readers a fresh and engaging perspective on complex topics.

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Zielgruppe


Academic


Autoren/Hrsg.


Weitere Infos & Material


Chapter 01 Inventive Connections: A Journey Through Analogies

Chapter 02 The Golden Point for Decision-Making

Chapter 03 The Art of Randomization

Chapter 04 An Anti-Polarization Political System Inspired by the Play-the-Winner Strategy

Chapter 05 Clinical Trial Design and Development: Insights from Game Theory and Stochastic Processes

Chapter 06 Enhancing Productivity and Economic Growth Through Paradoxical Insights

Chapter 07 Identifying Biases via Critical Thinking

Chapter 08 Interesting Yet Challenging in Statistical Modeling

Chapter 09 Dimensional Analysis Assisted Statistical Modeling

Chapter 10 Recursive Functions as Self-Referencing Analogies

Chapter 11 Creative Data Visualization

Chapter 12 From Brownian Motion to Unified Models: Bridging Scales and Disciplines

Chapter 13 Quantum Computing Explained via Analogies

Chapter 14 Dual Forces: Evolution, Devolution, and Feedback Systems

Chapter 15 What Constitutes Science and Scientific Evidence?

Chapter 16 The Similarity Principle

Chapter 17 iWordnet and the Connotation of Understanding

Chapter 18 Analogy in Artificial Intelligence

Chapter 19 Analogy-Made Humanized AI

Chapter 20 Education Shifts and Futuristic Society in the AI Age


Mark Chang, PhD, is the founder of AGInception and an adjunct professor of Biostatistics at Boston University. He is an elected fellow of the American Statistical Association, a co-founder of the International Society for Biopharmaceutical Statistics. He previously held various positions in pharmaceutical companies, including Scientific Fellow, executive Director, and Senior Vice President. He is an adaptive design expert and has extensive knowledge in AI for clinical trials. He has published 14 books on artificial intelligence & machine learning, adaptive clinical trial designs, modern issues and methods in biostatistics, paradoxes in scientific inference, and principles of scientific methods



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