Machine learning, as the most important technology and tool in artificial intelligence, has been successfully applied in solving various complex problems. After a brief introduction to the basic methods and algorithms of machine learning, this book collects artificial intelligence solutions for typical extreme problems of wide range, such as handwritten digit recognition, radar automatic target recognition, computer-aided disease diagnosis, image filtering for images contaminated with heavy noises, gene expression heterogeneity correction, preeclampsia risk prediction, and some typical combinatorial optimization problems such as multi-constraint shortest path problem, traveling salesman problem, and so forth. The aim is to examine, through these cases, how to use machine learning technology to create effective methods and algorithms for solving extreme problems, which reveals enormous advantages and severe challenges of artificial intelligence technology. This book can serve as the textbook for undergraduates, graduate students and PhD students for related courses about machine learning or a reference for students majoring in Computer Science, Artificial Intelligence, Automation and so forth in colleges and universities. It can also be a reference for researchers and engineers who are interested in machine learning and artificial intelligence.
还没人写过短评呢
还没人写过短评呢