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Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan

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Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science Book 106)

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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

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Applied Predictive Modeling

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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics Book 103)

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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

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Deep Learning with Python

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Neural Networks and Deep Learning: A Textbook

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Linear Algebra and Optimization for Machine Learning: A Textbook

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Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

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Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering

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Introduction to the Theory of Complex Systems

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