Machine Learning and Deep Learning in Computational Toxicology - Computational Methods in Engineering & the Sciences -  - Grāmatas - Springer International Publishing AG - 9783031207297 - 2023. 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, 100 Tables, color; 124 Illustrations, color; 25 Illustrations, black and white; XIX, 635

Mediji Grāmatas     Hardcover Book   (Grāmata ar cieto muguriņu un vāku)
Izlaists 2023. gada 8. februāris
ISBN13 9783031207297
Izdevēji Springer International Publishing AG
Lapas 635
Izmēri 150 × 220 × 20 mm   ·   1,29 kg
Valoda Vācu  
Redaktors Hong, Huixiao

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