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Chapman and Hall/CRC
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A Concise Introduction to Programming in Python (Chapman & Hall/CRC Textbooks in Computing)
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Advanced R Second Edition (Chapman & Hall/CRC The R Series)
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Advanced R, Second Edition (Chapman & Hall/CRC The R Series)
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An Introduction to Systems Biology: Design Principles of Biological Circuits (Chapman & Hall/CRC Computational Biology Series)
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An Invitation To Algebraic Numbers And Algebraic Functions
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An Invitation To Algebraic Numbers And Algebraic Functions
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Analyzing Baseball Data with R (Chapman & Hall/CRC The R Series)
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Applied Survey Data Analysis (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
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Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)
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Bayesian Hierarchical Models: With Applications Using R, Second Edition
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Bayesian Modeling and Computation in Python (Chapman & Hall/CRC Texts in Statistical Science)
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Bio-Inspired Computing for Image and Video Processing
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Complex Survey Data Analysis with SAS
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Computation with Linear Algebraic Groups (Chapman & Hall/CRC Monographs and Research Notes in Mathematics)
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Computation with Linear Algebraic Groups (Chapman & Hall/CRC Monographs and Research Notes in Mathematics)
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Computational Systems Biology Approaches in Cancer Research (Chapman & Hall/CRC Computational Biology Series)
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Concise Introduction to Linear Algebra
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CRC Standard Mathematical Tables and Formulas (Advances in Applied Mathematics)
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Data Management in Large-Scale Education Research
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Design and Analysis of Bridging Studies (Chapman & Hall/CRC Biostatistics Series)
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Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading
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Dynamic Treatment Regimes: Statistical Methods for Precision Medicine (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
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Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
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Feature Engineering and Selection: A Practical Approach for Predictive Models (Chapman & Hall/CRC Data Science Series)
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Foundations of Statistics for Data Scientists: With R and Python (Chapman & Hall/CRC Texts in Statistical Science)
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Fundamentals of Causal Inference with R: With R (Chapman & Hall/CRC Texts in Statistical Science)
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Geographic Data Science with Python (Chapman & Hall/CRC Texts in Statistical Science)
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Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny (Chapman & Hall/CRC Biostatistics Series)
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Handbook of Statistics in Clinical Oncology
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Hands-On Machine Learning with R (Chapman & Hall/CRC The R Series)
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