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Applied mathematics with open-source software : operatioal research problems with Python and R /
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Practical R for biologists : an introduction /
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Statistics for linguists : an introduction using R /
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Biomarker analysis in clinical trials with R /
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Mathematical foundations of data science using R /
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Learn RStudio IDE : quick, effective, and productive data science /
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R Machine learning projects : implement supervised, unsupervised, and reinforcement learning techniques using R 3.5 [E-Book] /
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R statistics cookbook : over 100 recipes for performing complex statistical operations with R 3.5 [E-Book] /
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Hands-on exploratory data analysis with R : become an expert in exploratory data analysis using R packages [E-Book] /
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R Bioinformatics Cookbook : Use R and Bioconductor to perform RNAseq, genomics, data visualization, and bioinformatic analysis [E-Book] /
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Mastering Machine Learning with R : advanced machine learning techniques for building smartapplications with R 3.5, Third edition [E-Book] /
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Data visualisation with R : 111 examples /
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Robust statistics : theory and methods (with R) /
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Mathematical statistics with Resampling and R /
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Datenvisualisierung mit R : 111 Beispiele /
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Discovering statistics using IBM SPSS statistics /
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Web application development with R using Shiny : build stunning graphics and interactive data visualizations to deliver cutting-edge analytics, third edition [E-Book] /
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R für Data Science : Daten importieren, bereinigen, umformen, modellieren und visualisieren /
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R graphics cookbook : practical recipes for visualizing data /
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Introduction to machine learning with R : rigorous mathematical analysis /
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