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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 of machine learning.
Produkteigenschaften
- Artikelnummer: 9783030378295
- Medium: Buch
- ISBN: 978-3-030-37829-5
- Verlag: Springer
- Erscheinungstermin: 25.04.2020
- Sprache(n): Englisch
- Auflage: 1. Auflage 2020
- Serie: Studies in Computational Intelligence
- Produktform: Gebunden, HC runder Rücken kaschiert
- Gewicht: 606 g
- Seiten: 280
- Format (B x H x T): 160 x 241 x 22 mm
- Ausgabetyp: Kein, Unbekannt