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Cambridge Computer Science
R 2,710
Computational Logic and Human Thinking: How to Be Artificially Intelligent
R 4,045
Bayesian Reasoning and Machine Learning
R 4,754
Density Ratio Estimation in Machine Learning
R 2,421
Brain-Computer Interfacing: An Introduction
R 4,497
Modeling and Reasoning with Bayesian Networks
R 3,469
The Design of Approximation Algorithms
R 4,763
Modern Computer Algebra
R 4,063
Mobile Robotics: Mathematics, Models, and Methods
R 3,163
Evaluating Learning Algorithms: A Classification Perspective
R 2,531
P, Np, and Np-Completeness: The Basics of Computational Complexity
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