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OverviewFull Product DetailsAuthor: Stefan SandfeldPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 1st ed. 2024 ISBN: 9783031465642ISBN 10: 3031465644 Pages: 618 Publication Date: 09 May 2024 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsIntroduction to Data, Data Mining, and Prediction in Materials Science.- A Primer on Probabilities, Distributions and Statistics.- Introduction to Statistical Machine Learning.- Artificial Neural Networks and Deep Learning.- Advanced Topics of Machine Learning and Data Mining in Materials Science and Engineering.- Conclusion Outlook.- Appendix.ReviewsAuthor InformationProf. Dr. Stefan Sandfeld is Director of the Institute for Advanced Simulation: Materials Data Science and Informatics (IAS-9) Forschungszentrum Juelich, Germany; and Professor/Chair of Materials Data Science and Materials Informatics, RWTH Aachen University. Tab Content 6Author Website:Countries AvailableAll regions |
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