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Computer scientists describe the current understanding and practice of machine learning, both supervised and unsupervised, in a range of fields. They cover mobile vision for a plant biometric system, business applications of deep learning, the significance of affective sciences and machine intelligence in deciphering complexity rooting in urban sciences, coronary heart disease prognosis using machine-learning techniques on patients with type 2 diabetes mellitus, applying machine learning techniques for predicting software reliability, feature-selection algorithms for classifying and clustering, applying optimization techniques to analyze gene expression, an approach to face recognition based on machine learning, and how games improve language in people with language dysfunctions. Annotation ©2017 Ringgold, Inc., Portland, OR (protoview.com)
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Ubiquitous Machine Learning and Its Applications Advances in Computational Intelligence and Robotics
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Ubiquitous Machine Learning and Its Applications (Advances in Computational Intelligence and Robotics)
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents latest research on the issues and challenges machines face in the new millennium. Featuring extensive coverage on relevant areas such as computational advertising, software engineering, and bioinformatics, this publication is an ideal resource for . Codice articolo 448010369
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Ubiquitous Machine Learning and Its Applications (Advances in Computational Intelligence and Robotics)
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Information Science Reference, 2017
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ISBN 13: 9781522525455
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Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Constant improvements in technological applications have allowed for more opportunities to develop automated systems. This not only leads to higher success in smart data analysis, but also ensures that technological progression will continue. Ubiquitous Machine Learning and its Applications is a pivotal reference source for the latest research on the issues and challenges machines face in the new millennium. Featuring extensive coverage on relevant areas such as computational advertising, software engineering, and bioinformatics, this publication is an ideal resource for academicians, graduate students, engineering professionals, and researchers interested in discovering how they can apply these advancements to various disciplines. Codice articolo 9781522525455
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