图 书 馆
机器学习Machine Learning |
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| 课程网址: | https://ocw.mit.edu/courses/6-867-machine-learning-fall-2006/ |
| 主讲教师: | Rohit Singh |
| 开课单位: | 麻省理工学院 |
| 开课时间: | 2006-01-01 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | 6.867 is an introductory course on machine learning which gives an overview of many concepts, techniques, and algorithms in machine learning, beginning with topics such as classification and linear regression and ending up with more recent topics such as boosting, support vector machines, hidden Markov models, and Bayesian networks. The course will give the student the basic ideas and intuition behind modern machine learning methods as well as a bit more formal understanding of how, why, and when they work. The underlying theme in the course is statistical inference as it provides the foundation for most of the methods covered. |
| 关 键 词: | 机器学习; 入门课程; 基本思想 |
| 课程来源: | 麻省理工学院公开课 |
| 数据采集: | 2024-05-07：chenjy |
| 最后编审: | 2024-05-07：chenjy |
| 阅读次数: | 6 |