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A First Course in Mathematical Modeling
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Computer Vision: Models, Learning, and Inference
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Hyperparameter Optimization in Machine Learning
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Machine Learning, Second Edition: A Probabilistic Perspective
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Matrix Calculus (for Machine Learning and Beyond)
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Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
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Non-Convex Optimization for Machine Learning
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Pattern Recognition and Machine Learning
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Pen and Paper Exercises in Machine Learning
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Physics-based Deep Learning
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Probabilistic Graphical Models: Principles and Techniques
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