Book Genre: Machine Learning
This introduction to decision theory offers comprehensive and accessible discussions of decision-making under ignorance and
Wasserman seeks to address this issue with his book, All of Statistics. Though the title
“Computability and Logic” has become a classic because of its accessibility to students without a
Introduction to the Theory of Computation builds upon the strengths of the previous edition. Sipser’s
In his book, “Superintelligence,” philosopher Nick Bostrom provides a thought-provoking perspective on how a superintelligent
In “Rationality: From AI to Zombies,” Eliezer Yudkowsky explains the science underlying human irrationality using
Principles of Model Checking is a comprehensive introduction to the foundations of model checking, a
Mathematics for Computer Science covers elementary discrete mathematics for computer science and engineering. It emphasizes
Artificial Intelligence: A Modern Approach is not just for academics or computer science experts; it’s
Machine learning is one of the fastest-growing areas of computer science, with far-reaching applications. This
This book aims to introduce beginning students of advanced mathematics to the fundamental set-theoretic realities
A Mathematical Introduction to Logic, Second Edition, offers increased flexibility with topic coverage, allowing for
Game Theory: An Introduction introduces readers to the principal ideas and applications of game theory
Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations
Going beyond the conventional probability theory mathematics, Probability Theory views the subject in a wider
Lambda-Calculus and Combinators were originally devised in the 1920s to investigate the foundations of mathematics
James Munkres’s Topology is designed to provide instructors with a convenient single-text resource for bridging
Linear Algebra Done Right is a best-selling textbook for the second linear algebra course aimed
The Logic of Provability, written by one of the most distinguished contemporary philosophers of mathematics,
Assuming a minimum of mathematical preparation, Basic Category Theory for Computer Scientists provides a straightforward