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Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning Manu Joseph
Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning
Manu Joseph
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.
552 pages
| 介质类型 | 图书 Paperback Book (平装胶订图书) |
| 已发行 | 2022年11月24日 |
| ISBN13 | 9781803246802 |
| 出版商 | Packt Publishing Limited |
| 页数 | 552 |
| 商品尺寸 | 234 × 191 × 32 mm · 938 g |
| 语言 | 英语 |
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