Code: 43107965
Deep Learning in Time Series Analysis
by 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 cy ... more
- Language:
English - Binding: Hardback
- Number of pages: 196
Publisher: Taylor & Francis Ltd, 2023
- More about this
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Book synopsis
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.
Book details
194.58 €
- Full title: Deep Learning in Time Series Analysis
- Author: Gharehbaghi, Arash (Malardalen University, Vastmanland, Sweden)
- Language: English
- Binding: Hardback
- Number of pages: 196
- EAN: 9780367321789
- ID: 43107965
- Publisher: Taylor & Francis Ltd
- Weight: 498 g
- Dimensions: 234 × 156 mm
- Date of publishing: 06. July 2023
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