Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python, Awange Joseph, Palбncz Bйla, Vцlgyesi Lajos

Автор: Dauphine Andre
Название: Geographical Models with Mathematica
ISBN: 1785482254 ISBN-13(EAN): 9781785482250
Издательство: Elsevier Science
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Цена: 206410.00 T
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Описание:

Geographical Models with Mathematica provides a fairly comprehensive overview of the types of models necessary for the development of new geographical knowledge, including stochastic models, models for data analysis, for geostatistics, for networks, for dynamic systems, for cellular automata and for multi-agent systems, all discussed in their theoretical context.

Автор: Yang, Qiang (hong Kong University Of Science And Technology) Zhang, Yu (hong Kong University Of Science And Technology) Dai, Wenyuan Pan, Sinno Jialin
Название: Transfer learning
ISBN: 1107016908 ISBN-13(EAN): 9781107016903
Издательство: Cambridge Academ
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Цена: 61240.00 T
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Описание: Transfer learning deals with how machine learning and artificial intelligence systems can quickly adapt to new tasks and environments. This in-depth tutorial for students, researchers, and developers covers foundations, plus applications such as text mining, inference on social networks, recommendation, multimedia, and cyber-physical systems.

Автор: Joseph Awange; B?la Pal?ncz; Lajos V?lgyesi
Название: Hybrid Imaging and Visualization
ISBN: 3030261522 ISBN-13(EAN): 9783030261528
Издательство: Springer
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Цена: 130430.00 T
Наличие на складе: Невозможна поставка.
Описание: The book introduces the latest methods and algorithms developed in machine and deep learning (hybrid symbolic-numeric computations, robust statistical techniques for clustering and eliminating data as well as convolutional neural networks) dealing not only with images and the use of computers, but also their applications to visualization tasks generalized by up-to-date points of view. Associated algorithms are deposited on iCloud.