The Cosmic Perspective – Jeffrey O. Bennett Megan O. Donahue Nicholas Schneider and Mark Voit

The Cosmic Perspective is a book written by Jeffrey O. Bennett, Megan O. Donahue, Nicholas Schneider, and Mark Voit. It is a popular science astronomy textbook that explores the wonders of our universe from a holistic perspective, blending both scientific and philosophical concepts. One of the most distinctive aspects of The Cosmic Perspective is its
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Introduction to Algorithms – Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest and Clifford Stein

Introduction to Algorithms is a widely-used and highly-regarded textbook on the subject of algorithms. Originally published in 1990, the book has undergone several revisions and is currently in its third edition, published in 2009. The book is co-authored by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein. Thomas H. Cormen is
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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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