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
Read More

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
Read More

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
Read More

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.
Read More

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
Read More