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Deep Learning in Time Series Analysis Gharehbaghi, Arash (Malardalen University, Vastmanland, Sweden)
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Deep Learning in Time Series Analysis
Gharehbaghi, Arash (Malardalen University, Vastmanland, Sweden)
The concept of deep machine learning is easier to understand by paying attention to the cyclic stochastic time series and a time series whose content is non-stationary not only within the cycles, but also over the cycles as the cycle-to-cycle variations.
196 pages, 1 Tables, black and white; 17 Illustrations, color; 36 Illustrations, black and white
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | July 7, 2023 |
| ISBN13 | 9780367321789 |
| Publishers | Taylor & Francis Ltd |
| Pages | 196 |
| Dimensions | 241 × 160 × 16 mm · 498 g |
| Language | English |
