| 书目名称 | Implementations and Applications of Machine Learning | | 编辑 | Saad Subair,Christopher Thron | | 视频video | | | 概述 | 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 sw | | 丛书名称 | Studies in Computational Intelligence | | 图书封面 |  | | 描述 | .This book provides step-by-step explanations of successful implementations and practical applications of machine learning. The book’s 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 | | 出版日期 | Book 2020 | | 关键词 | Machine learning; Neural networks; Support Vector Machines; Soft Computing; Association Rules; Data Minin | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-37830-1 | | isbn_softcover | 978-3-030-37832-5 | | isbn_ebook | 978-3-030-37830-1Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | Springer Nature Switzerland AG 2020 |
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发表于 2025-3-21 17:03:06
