Modern Time Series Forecasting with Python : Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas
Learn traditional and cutting-edge machine learning (ML) and deep learning techniques and best practices for time series forecasting, including global forecasting models, conformal prediction, and transformer architectures. Key Features: Apply ML and global models to improve forecasting accuracy thr...
Na minha lista:
| Principais autores: | , |
|---|---|
| Outros Autores: | |
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado em: |
Birmingham :
Packt Publishing
2024.
Paris : Cyberlibris |
| Acesso em linha: | Accès Université d'Orléans et IFPM |
| Nota: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781835883198.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Modern Time Series Forecasting with Python, Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas, Manu Joseph, Jeffrey Tackes, [Foreword by Christoph Bergmeir], Birmingham, Packt Publishing, 2024, 1 vol. (659 p.), 978-18-3588-318-1 |