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Viac informácií o knihe Implementations and Applications of Machine Learning

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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.

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Zaradenie knihy Knihy po anglicky Technology, engineering, agriculture Electronics & communications engineering Communications engineering / telecommunications

• Celý názov: Implementations and Applications of Machine Learning
• Autor: Saad Subair, Christopher Thron
• Jazyk: Angličtina
• Väzba: Pevná
• Počet strán: 280
• EAN: 9783030378295
• ID: 25243236
• Nakladateľ: Springer Nature Switzerland AG
• Hmotnosť: 606 g
• Rozmery: 235 × 155 × 21 mm
• Dátum vydania: 25. April 2020

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