An introduction to statistical learning with applications in Python von James, Gareth, Witten, Daniela, Hastie, Trevor 1953-, Tibshirani, Robert 1956-, Taylor, Jonathan E.

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Bioinformatic and Statistical Analysis of Microbiome Data From Raw Sequences to Advanced Modeling with QIIME 2 and R von Xia, Yinglin, Sun, Jun

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Essentials of Excel VBA, Python, and R Volume II: Financial Derivatives, Risk Management and Machine Learning von Lee, John, Chang, Jow-Ran, Kao, Lie-Jane, Lee, Cheng-Few

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Practicing R for Statistical Computing von Aslam, Muhammad, Imdad Ullah, Muhammad

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Facets of Behaviormetrics The 50th Anniversary of the Behaviormetric Society

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Statistical Methods and Analyses for Medical Devices von Pardo, Scott A.

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Introductory Applied Statistics With Resampling Methods & R von Blaine, Bruce

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Measurement, Mathematics and New Quantification Theory von Nishisato, Shizuhiko

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Optimal Experimental Design A Concise Introduction for Researchers von López-Fidalgo, Jesús

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Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications Selected Contributions from SimStat 2019 and Invited Papers

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Visualization and Imputation of Missing Values With Applications in R von Templ, Matthias

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The Rise of Artificial Intelligence and Big Data in Pandemic Society Crises, Risk and Sacrifice in a New World Order von Shibuya, Kazuhiko

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Bayesian Statistical Modeling with Stan, R, and Python von Matsuura, Kentaro

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An Introduction to Statistics with Python With Applications in the Life Sciences von Haslwanter, Thomas

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Statistik für Ökonomen Datenanalyse mit R und SPSS von Kohn, Wolfgang, Öztürk, Riza

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Numerical Infinities and Infinitesimals in Optimization

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Trajectory Optimization and Guidance Methods for Mars Entry von Li, Shuang, Liu, Xu, Jiang, Xiu-qiang, Peng, Yu-ming

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Machine Learning Governance for Managers von Lazzeri, Francesca, Robsky, Alexei

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Statistics and Data Analysis for Engineers and Scientists von Mustafy, Tanvir, Rahman, Md. Tauhid Ur

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Optimal surface fitting of point clouds using local refinement application to GIS data von Kermarrec, Gaël, Skytt, Vibeke, Dokken, Tor

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