Computational Intelligence: A Logical Approach – David Poole Alan Mackworth and Randy Goebel

Introduction Computational intelligence is an interdisciplinary field of research that combines computer science, mathematics, and biology to develop intelligent computing systems. It is defined as the study of the design of intelligent agents that behave in an intelligent, autonomous, and goal-oriented manner. A logical approach to computational intelligence is the use of logic-based techniques to
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AI Superpowers: China Silicon Valley and the New World Order – Kai-Fu Lee

About the Author Kai-Fu Lee is a renowned computer scientist and venture capitalist who specializes in artificial intelligence (AI). He was born in Taiwan in 1961 and later moved to the United States to pursue higher education. He received a bachelor’s degree from Columbia University and a Ph.D. from Carnegie Mellon University, both in computer
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Space Propulsion Analysis and Design – Ronald W. Humble

About the Author Ronald W. Humble is an internationally recognized expert in the field of space propulsion analysis and design. He received his Bachelor of Science degree in Aerospace Engineering from Purdue University, his Master of Science in Aeronautics and Astronautics from Stanford University, and his Ph.D. in Aeronautics and Astronautics from the University of
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Understanding Machine Learning: From Theory to Algorithms – Shai Shalev-Shwartz and Shai Ben-David

Understanding Machine Learning: From Theory to Algorithms by Shai Shalev-Shwartz and Shai Ben-David is a highly acclaimed book that provides a comprehensive guide to the theory and algorithms of machine learning. The book is written for both students and professionals who are interested in learning about the fundamentals of machine learning and its practical applications.
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Deep Learning – Ian Goodfellow Yoshua Bengio and Aaron Courville

Deep Learning – Ian Goodfellow, Yoshua Bengio, and Aaron Courville Deep learning is a subset of machine learning that utilizes multiple layers of nonlinear processing units to extract and transform features from raw data. This technology has made significant advancements in recent years, with notable contributions from researchers such as Ian Goodfellow, Yoshua Bengio, and
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Supply Chain Risk Management – Donald Waters

Introduction Supply chain risk management is a critical aspect of modern business operations. It involves identifying, assessing, and mitigating risks that can disrupt the flow of goods and services across the supply chain. In today’s globalized and interconnected business landscape, companies must be prepared to face a wide range of potential risks, including natural disasters,
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