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MARC状态:已编 文献类型:西文图书 浏览次数:37

题名/责任者:
Implementations and applications of machine learning / Saad Subair, Christopher Thron, editors
出版发行项:
Cham, Switzerland : Springer, [2020]
出版发行项:
漏2020
ISBN:
9783030378295
ISBN:
3030378292
载体形态项:
xii, 280 pages : illustrations (some color) ; 24 cm.
丛编说明:
Studies in computational intelligence, 1860-049X ; volume 782
丛编统一题名:
Studies in computational intelligence ; v. 782
附加个人名称:
Subair, Saad, editor.
附加个人名称:
Thron, Christopher, editor.
论题主题:
Machine learning.
中图法分类号:
TP181
书目附注:
Includes bibliographical references and index.
摘要附注:
This book provides step-by-step explanations of successful implementations and practical applications of machine learning. The books GitHub page contains software codes to assist readers in adapting materials and methods for their own use. A wide variety of applications are discussed, including wireless mesh network and power systems optimization; computer vision; image and facial recognition; protein prediction; data mining; and data discovery. Numerous state-of-the-art machine learning techniques are employed (with detailed explanations), including biologically-inspired optimization (genetic and other evolutionary algorithms, swarm intelligence); Viola Jones face detection; Gaussian mixture modeling; support vector machines; deep convolutional neural networks with performance enhancement techniques (including network design, learning rate optimization, data augmentation, transfer learning); spiking neural networks and timing dependent plasticity; frequent itemset mining; binary classification; and dynamic programming. This book provides valuable information on effective, cutting-edge techniques, and approaches for students, researchers, practitioners, and teachers in the field of machine learning. Presents practical, useful applications of machine learning for practitioners, students, and researchers Provides hands-on tools for a variety of machine learning techniques Covers evolutionary and swarm intelligence, facial and image recognition, deep learning, data mining and discovery, and statistical techniques
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