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学习而不过度学习

Learning without overlearning
课程网址: http://videolectures.net/bootcamp07_guyon_lwo/  
主讲教师: Isabelle Guyon
开课单位: 克洛皮内公司
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的基本原理和应用程序。学生们将首先被提醒机器学习算法的基础知识和避免过拟合的问题。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。将回顾推导原则性特征选择算法的方法,以及在实践中运行良好的启发式方法。其中一节课将专门介绍特色建筑技术。最后,讲座将专门讨论特征部分和因果发现之间的联系。该课程将伴随几个实验环节。该课程将吸引那些喜欢玩数据游戏并希望学习实用数据分析技术的学生。该讲师在为美国初创公司提供模式识别和机器学习咨询方面拥有十年的经验。将提供来自各种应用程序域的数据集:手写重新签名
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; 拟合; 功能构造
课程来源: 视频讲座网
数据采集: 2021-02-10:nkq
最后编审: 2024-01-23:liyy
阅读次数: 37