| Extent: | xiv, 492 Seiten Illustrationen |
|---|---|
| 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://www.econbiz.de/10014305773