Machine Learning and Deep Learning in Computational Toxicology - Computational Methods in Engineering & the Sciences - - Books - Springer International Publishing AG - 9783031207297 - February 8, 2023
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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

Media Books     Hardcover Book   (Book with hard spine and cover)
Released February 8, 2023
ISBN13 9783031207297
Publishers Springer International Publishing AG
Pages 635
Dimensions 150 × 220 × 20 mm   ·   1.29 kg
Language German  
Editor Hong, Huixiao

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