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The principles of deep learning theory : an effective theory approach to understanding neural networks /
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Machine learning : a first course for engineers and scientists /
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Probabilistic machine learning : an introduction /
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Math for deep learning : what you need to know to understand neural networks /
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Statistics and analysis of scientific data /
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Thinking probabilistically : stochastic processes, disordered systems, and their applications /
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An introduction to statistical learning : with applications in R /
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Deep learning : a visual approach /
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Introduction to probability and statistics for engineers and scientists /
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Mathematics for machine learning /
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Probability and statistics in the physical sciences /
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Statistical methods for materials science : the data science of microstructure characterization /
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A student's guide to Bayesian statistics /
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The data science design manual /
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The elements of statistical learning : data mining, inference, and prediction /
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Student's solutions guide for introduction to probability, statistics, and random processes /
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Introduction to probability, statistics, and random processes /
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Naked statistics : stripping the dread from the data /
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Spatiotemporal data analysis /
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Principles and theory for data mining and machine learning /
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