Linear Algebra and Learning from Data | Foundations of Machine Learning | Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning) | Lectures on Convex Optimization (Springer Optimization and Its Applications) | High-Dimensional Statistics: A Non-Asymptotic Viewpoint (Cambridge Series in Statistical and Probabilistic Mathematics) | Neural Networks and Deep Learning: A Textbook | Mathematical Foundations of Infinite-Dimensional Statistical Models
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