Modern Time Series Forecasting with Python Explore Industry-Ready Time Series Forecasting Using Modern Machine Learning and Deep Learning
Modern Time Series Forecasting with Python is a timely book that goes beyond popular classical time series techniques such as ARIMA and exponential smoothing and embraces modern high-performant techniques like machine learning. You'll discover tested tips and tricks to advance your skillset and...
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Birmingham, England :
Packt Publishing
[2022]
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| Edición: | First edition |
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009707507106719 |
| Sumario: | Modern Time Series Forecasting with Python is a timely book that goes beyond popular classical time series techniques such as ARIMA and exponential smoothing and embraces modern high-performant techniques like machine learning. You'll discover tested tips and tricks to advance your skillset and make you industry-ready in time series forecasting. |
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| Descripción Física: | 1 online resource (402 pages) : illustrations |
| Bibliografía: | Includes bibliographical references and index. |
| ISBN: | 9781803232041 |
