模式识别-课程网站 - 北京航空航天大学课程网站
Pattern Recognition

模式识别课程

        模式识别(Pattern Recognition, ML)是一门多领域交叉应用学科,涉及概率论、统计学、凸分析、算法复杂度理论等多门学科。专门研究计算机怎样模拟或实现人类的学习行为,以获取新的知识或技能,重新组织已有的知识结构使之不断改善自身的性能。本课程以在计算机应用的角度上介绍机器学习的各方面内容,包括线性回归分类模型、人工神经网络、概率图模型的推理和学习、降维方法等。目的是让计算机专业...

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    Brief Description

  • Pattern Recognition is more than one field of cross-disciplinary, involving probability theory, statistics, approximation theory, convex analysis, computational complexity theory and many other subjects. It focuses on simulation and implementation of human studying behavior, and learning new knowledge. All aspects of the curriculum to introduce the perspective of computer applications in machine learning, including linear regression classification model, artificial neural networks, inference and learning probabilistic graphical models, dimension reduction methods.

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联系地址:北京市海淀区学院路37号北京航空航天大学