特征选择简介Introduction to feature selection |
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课程网址: | http://videolectures.net/bootcamp07_guyon_ifs/ |
主讲教师: | Isabelle Guyon |
开课单位: | 克洛平公司 |
开课时间: | 2007-07-04 |
课程语种: | 英语 |
中文简介: | 本课程涵盖功能选择基础和应用程序。首先要提醒学生机器学习算法的基础知识和避免过度拟合的问题。在包装器设置中,特性选择将作为模型选择问题的特殊情况引入。本文综述了特征选择算法的基本推导方法和启发式方法,并在实际应用中取得了良好的效果。一个班将专门学习特征构造技术。最后,将进行一次讲座,讨论特征部分和因果发现之间的联系。这门课将伴随着几次实验课。本课程将吸引那些喜欢使用数据并想学习实际数据分析技术的学生。该讲师在模式识别和机器学习方面具有十年的美国初创企业咨询经验。将提供各种应用领域的数据集:手写识别、医学诊断、药物发现、文本分类、生态学、营销。 |
课程简介: | This course covers feature selection fundamentals and applications. The students will first be reminded of the basics of machine learning algorithms and the problem of overfitting avoidance. In the wrapper setting, feature selection will be introduced as a special case of the model selection problem. Methods to derive principled feature selection algorithms will be reviewed as well as heuristic method, which work well in practice. One class will be devoted to feature construction techniques. Finally, a lecture will be devoted to the connections between feature section and causal discovery. The class will be accompanied by several lab sessions. The course will be attractive to students who like playing with data and want to learn practical data analysis techniques. The instructor has ten years of experience with consulting for startup companies in the US in pattern recognition and machine learning. Datasets from a variety of application domains will be made available: handwriting recognition, medical diagnosis, drug discovery, text classification, ecology, marketing. |
关 键 词: | 机器学习; 应用程序; 数据分析 |
课程来源: | 视频讲座网 |
最后编审: | 2020-07-29:yumf |
阅读次数: | 43 |