Extent: | xiv, 492 Seiten Illustrationen |
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Type of publication: | Book / Working Paper |
Language: | English |
Notes: | Interessenniveau: 4CT, für die Hochschulausbildung Interessenniveau: 4TC, Lehrbuch, Skript Chapter 1: Introduction To Programming And StatisticsChapter 2: Summarizing And Visualizing DataChapter 3: Summarizing And Visualizing DataChapter 4: Programming FundamentalsChapter 5: Programming FundamentalsChapter 6: DistributionsChapter 7: Statistical Testing - Concepts and StrategyChapter 8: Statistical Testing - Concepts and StrategyChapter 9: Nonparametric TestsChapter 10: Reality CheckChapter 11: Fundamentals of EstimationChapter 12: Linear ModelsChapter 13: General Linear ModelsChapter 14: Regression Diagnostics And StructureChapter 15: Timeseries And ForecastingChapter 16: Introduction To Machine LearningChapter 17: Model Selection And Cross ValidationChapter 18: Regression Models In Machine LearningChapter 19: Classification Models And EvaluationChapter 20: Automated Machine Learning |
ISBN: | 978-1-5296-2090-0 ; 978-1-5296-2091-7 |
Classification: | Betriebliches Rechnungswesen ; Betriebliche Information und Kommunikation |
Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://ebvufind01.dmz1.zbw.eu/10014305773