Machine Learning and Deep Learning in Computational Toxicology - Computational Methods in Engineering & the Sciences -  - Grāmatas - Springer International Publishing AG - 9783031207327 - 2024. gada 8. februāris
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Machine Learning and Deep Learning in Computational Toxicology - Computational Methods in Engineering & the Sciences 2023 edition

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One of the major features is the case studies of applications of machine learning and deep learning in toxicological research that serve as examples for readers to learn how to apply machine learning and deep learning techniques in predictive toxicology.


635 pages, 124 Illustrations, color; 25 Illustrations, black and white; XIX, 635 p. 149 illus., 124

Mediji Grāmatas     Paperback Book   (Grāmata ar mīksto vāku un līmēto muguru)
Izlaists 2024. gada 8. februāris
ISBN13 9783031207327
Izdevēji Springer International Publishing AG
Lapas 635
Izmēri 150 × 220 × 10 mm   ·   1,13 kg
Valoda Vācu  
Redaktors Hong, Huixiao

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