Efficient Learning Machines

Efficient Learning Machines

Theories, Concepts, and Applications for Engineers and System Designers

eBook - 2015
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Advances in computing performance, storage, memory, unstructured information retrieval, and cloud computing have coevolved with a new generation of machine learning paradigms and big data analytics, which the authors present in the conceptual context of their traditional precursors. They explore current developments in the deep learning techniques of deep neural networks, hierarchical temporal memory, and cortical algorithms. Readers will learn how to recognize and analyze the problems that machine learning technology can solve for them, how to implement and deploy standard solutions to sample problems, and how to design new systems and solutions. Major topics of machine learning, including knowledge discovery, classifications, genetic algorithms, neural networking, kernel methods, and biologically-inspired techniques are discussed. --
Publisher: [New York] : friendsof ED, Apress, ApressOpen, [2015]
Copyright Date: ©2015
ISBN: 9781430259909
9781430259893
Characteristics: 1 online resource : illustrations

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