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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