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| Link zu diesem Datensatz | https://d-nb.info/1382481306 |
| Titel | Advanced Forecasting with Python : Mastering Modern Forecasting Techniques with Machine Learning and Cloud Tools / by Joos Korstanje |
| Person(en) | Korstanje, Joos (Verfasser) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 2nd ed. 2025 |
| Verlag | Berkeley, CA : Apress, Imprint: Apress |
| Zeitliche Einordnung | Erscheinungsdatum: 2025 |
| Umfang/Format | Online-Ressource, XIX, 440 p. 187 illus., 152 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 979-8-8688-2027-4 Printed edition:: ISBN: 979-8-8688-2029-8 |
| Inhalt | PART I: Machine Learning for Forecasting -- Chapter 1: Models for Forecasting -- Chapter 2: Model Evaluation for Forecasting -- Chapter 3: Model Management and Benchmarking using MLflow -- PART II: Univariate Time Series Models -- Chapter 4: The AR model -- Chapter 5: The MA model -- Chapter 6: The ARMA model -- Chapter 7: The ARIMA model -- Chapter 8: The SARIMA model -- PART III: Multivariate Time Series Models -- Chapter 9: The SARIMAX model -- Chapter 10: The VAR model -- Chapter 11: The VARMAX model -- PART IV: Supervised Models -- Chapter 12: The Linear Regression -- Chapter 13: The Decision Tree Model -- Chapter 14: The kNN model -- Chapter 15: The Random Forest -- Chapter 16: Gradient Boosting with XGBoost, LightGBM, and CatBoost -- Chapter 17: Bayesian Models with pyBATS -- PART V: Neural Networks -- Chapter 18: Neural Networks -- Chapter 19: RNNs using SimpleRNN and GRU -- Chapter 20: LSTM RNNs -- PART VI: Black Box and Cloud Based Models -- Chapter 21: The NBEATS model with Darts -- Chapter 22: The Transformer model with Darts -- Chapter 23: The NeuralProphet model -- Chapter 24: The DeepAR model and AWS Sagemaker AI -- Chapter 25: Uber's Orbit Model -- Chapter 26: AutoML with Microsoft Azure -- Chapter 27: AutoML with Vertex AI on Google Cloud Platform -- Chapter 28: Nixtla Suite and TimeGPT -- Chapter 29: Model Selection |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2511250307524.252393503657 DOI: 10.1007/979-8-8688-2028-1 |
| URL | https://doi.org/10.1007/979-8-8688-2028-1 |
| ISBN/Einband/Preis | 979-8-8688-2028-1 |
| Sprache(n) | Englisch (eng) |
| DDC-Notation | 006.31 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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