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 pred ... Täielik kirjeldus
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Kirjeldus
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.
Lisateave
| Kirjastaja | Springer Nature Switzerland |
|---|---|
| Väljalaskeaasta | 2020 |
| Kaanetüüp | Kõvakaaneline |
| EAN | 9783030378295 |