Filtering and System Identification: A Least Squares Approach
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Book of Proof
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Writing Well and Being Well for Your PhD and Beyond: How to ...
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Physics-based Deep Learning
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Machine Learning, Second Edition: A Probabilistic Perspective
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Collection of Problems in Probability Theory
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Statistical Rethinking: A Bayesian Course With Examples in R ...
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Information Theory, Inference and Learning Algorithms
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Probabilistic Graphical Models: Principles and Techniques
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Pen and Paper Exercises in Machine Learning
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Forecasting Economic Time Series
C. W. J. Granger & Paul Newbold & Karl Shell
Bayesian Data Analysis
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Information Geometry and Its Applications
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