Titlebook: Innerbetriebliche Reformen in Nonprofit-Organisationen; Das Deutsche Rote Kr Stefan Nährlich Textbook 1998 Springer Fachmedien Wiesbaden 19

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蕨类

CRP743

Stefan Nährlichquent pattern mining, and regression analysis. Eventually, the third part (chapters 11 and 12) present a brief introduction to Python and R, the two main data science programming languages, and shows in a completely new chapter practical data science in the WEKA (Waikato Environment for Knowledge An

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Stefan Nährlich e.g., the datasets, algorithms, visualization methods, etc..WEKA’s third interface, the Experimenter, as the name implies, helps you perform different experiments, e.g., which classification algorithm is best for which dataset and which parameters help increase the accuracy. There are two other int

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Stefan Nährlichtency. Without proficiency in mathematics, statistics, data manipulation, and coding, the path to success is “rocky” at best. The coding examples in this book are concise, accurate, and complete, and perfectly complement the data science concepts introduced. .What You‘ll Learn.Prepare for a career i

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Stefan Nährlichtency. Without proficiency in mathematics, statistics, data manipulation, and coding, the path to success is “rocky” at best. The coding examples in this book are concise, accurate, and complete, and perfectly complement the data science concepts introduced. .What You‘ll Learn.Prepare for a career i

延期

oots when coupled with unstructured citizens’ data generated through other digital devices holds immense potential to revolutionize governance processes by providing a foundation for data-backed decision making. Hence, such structured baseline data and unstructured citizens’ data must be continuousl

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Innerbetriebliche Reformen in Nonprofit-OrganisationenDas Deutsche Rote Kr