Implementations and Applications of Machine Learning (Studies in Computational Intelligence #782)
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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.
Details
- Publisher
- Springer International Publishing
- Format
- Hardcover
- Published
- Apr 25, 2020
- ISBN-13
- 9783030378295
- Pages
- 280
- Printing
- Printed on demand
Implementations and Applications of Machine Learning (Studies in Computational Intelligence #782) for groups: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $149.59 | 12% off list |
| 50 – 99 | $147.89 | 13% off list |
| 100+ | $146.19 | 14% off list |
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