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Covers material typically presented in an intermediate statistics course at the undergraduate level and a first course in applied statistics... Læs mere
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This book covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single and short book.... Læs mere
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This book covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single and short book.... Læs mere
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Continuous linear systems and discrete linear systems are broad topics and each merit a single book devoted to the respective subject matter. The objective of... Læs mere
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It covers the creation of datasets in SAS, debugging a program, the overall construction of a SAS program, all DATA Step operations, t-tests,... Læs mere
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It covers the creation of datasets in SAS, debugging a program, the overall construction of a SAS program, all DATA Step operations, t-tests,... Læs mere
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This book is designed to provide a range of examples of how to extend the functionality of your R Markdown documents. As a cookbook, this guide is recommended to new or intermediate R Markdown users.
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Spatial Data Science is a book for data scientists with intermediate R knowledge. The book gives a detailed explanation of the core spatial software packages for R: sf for simple feature... Læs mere
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