Pattern Recognition and Neural NetworksThis textbook covers the basics of pattern recognition and machine learning: basic theory and practices, classifiers, clustering, feature selection; as well as selected topics from the neural networks area: perceptrons, various classical neural network models, and deep learning neural networks. The challenge in writing this textbook was to explain rigorous, intricate concepts and algorithms assuming minimal knowledge of mathematics. The students on