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Cambridge Computer Science
R 2,717
Computational Logic and Human Thinking: How to Be Artificially Intelligent
R 4,056
Bayesian Reasoning and Machine Learning
R 4,767
Density Ratio Estimation in Machine Learning
R 2,427
Brain-Computer Interfacing: An Introduction
R 4,509
Modeling and Reasoning with Bayesian Networks
R 3,478
The Design of Approximation Algorithms
R 4,776
Modern Computer Algebra
R 4,074
Mobile Robotics: Mathematics, Models, and Methods
R 3,171
Evaluating Learning Algorithms: A Classification Perspective
R 2,538
P, Np, and Np-Completeness: The Basics of Computational Complexity
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