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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