Step-by-step implementations of machine learning algorithms for clear understanding and application
Practical applications in wireless networks, computer vision, data mining, and more for real-world relevance
Comprehensive code repository on GitHub for easy adaptation and experimentation
Coverage of advanced techniques such as genetic algorithms, deep convolutional neural networks, and spiking neural networks
Detailed explanations of performance enhancement methods including transfer learning and data augmentation
Summarized by Shop
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 opt