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  1. James, Gareth [Author]; Witten, Daniela [Author]; Hastie, Trevor [Author]; Tibshirani, Robert [Author]; Taylor, Jonathan E. [Author]

    An introduction to statistical learning : with applications in Python

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    Cham, Switzerland: Springer, [2023]

    Published in: Springer texts in statistics

  3. Murphy, Kevin P. [Author]

    Probabilistic machine learning : advanced topics

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    Cambridge, Massachusetts; London, England: The MIT Press, [2023]

    Published in: Adaptive computation and machine learning

  5. Ravishanker, Nalini [Author]; Chi, Zhiyi [Author]; Dey, Dipak [Author]

    A first course in linear model theory - [Second edition]

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    Boca Raton; London; New York: CRC Press Taylor & Francis Group, [2022]

    Published in: Chapman & Hall/CRC Texts in statistical science series

  6. Murphy, Kevin P. [Author]

    Probabilistic machine learning : an introduction

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    Cambridge, Massachusetts; London, England: The MIT Press, [2022]

    Published in: Adaptive computation and machine learning

  7. Huffmann, Jonathan Ernst Walter [Author] ; Mittelbach, Martin [Degree supervisor]; Scheunert, Christian [Degree supervisor]; Finger, Adolf [Degree supervisor] Technische Universität Dresden

    Canonical Correlation and the Calculation of Information Measures for Infinite-Dimensional Distributions = Kanonische Korrelationen und die Berechnung von Informationsmaßen für unendlichdimensionale Verteilungen

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    Dresden, [2021]

  9. Faraway, Julian James [Author] ; CRC Press

    Linear models with Python - [First edition]

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    Boca Raton: CRC Press, 2021

    Published in: Texts in statistical science- Chapman & Hall/CRC texts in statistical science

  13. Weinberg, Sharon Lawner [Author]; Harel, Daphna [Author]; Abramowitz, Sarah Knapp [Author]

    Statistics using R : an integrative approach

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    Cambridge; New York, NY; Port Melbourne; New Delhi; Singapore: Cambridge University Press, 2021