Machine Learning

Machine learning is an important technical foundation for artificial intelligence and covers a wide range of topics. The content of this book covers the basic knowledge of machine learning, mainly including the introduction of machine learning, basics of statistical learning, classification, clustering, neural networks, Bayesian networks, support vector machines, evolutionary computation, text analysis and other classic machine learning theoretical knowledge. It also includes high-level content such as distributed machine learning algorithms for big data machine learning, deep learning and reinforcement learning. In addition, recommendation technology for popular application areas of machine learning is also introduced, and experiments on Huawei's machine learning platform are given. This book is easy-to-understand, has comprehensive content, and is rich in cases. There are exercises and references after each chapter to facilitate students to consolidate their learning. It is suitable as a teaching material for courses such as machine learning, data analysis, and data mining for undergraduates and graduate students in colleges and universities. It can also be used as a reference for researchers and engineering technicians who are interested in machine learning.