Deep Learning in Time Series Analysis - Gharehbaghi, Arash (Malardalen University, Vastmanland, Sweden) - Books - Taylor & Francis Ltd - 9780367321789 - July 7, 2023
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Deep Learning in Time Series Analysis

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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  

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