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Machine Learning and Deep Learning in Computational Toxicology
Machine Learning and Deep Learning in Computational Toxicology
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- More about Machine Learning and Deep Learning in Computational Toxicology
Format: Hardback
Length: 635 pages
Publication date: 08 February 2023
Publisher: Springer International Publishing AG
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.
Dimension: 235 x 155 (mm)
ISBN-13: 9783031207297
Edition number: 2023 ed.
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