Book (Practical) Mechanical engineering Easy to understand pattern recognition

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Mechanical Engineering
Learn more about pattern recognition and machine learning! This book is a sister book of 『 Easy-to-understand Pattern Recognition 』 (1st Edition 1998, 2nd Edition 2019) and 『 Zoku Easy-to-understand Pattern Recognition 』 (2014). It explains pattern recognition and machine learning with the main theme of nonlinear discrimination processing in supervised learning. This book focuses on support vector machines, kernel methods, and convolutional neural networks, and introduces generalized linear discrimination functions and potential function methods as the previous steps. It explains specific examples and experimental examples as easy-to-understand descriptions so that beginners who want to learn pattern recognition and machine learning can learn by themselves. In addition, there are exercise questions at the end of the chapter so that they can test their abilities. The answers to the exercise questions can be downloaded from the Ohm web page.