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6.867机器学习6.867 Machine Learning |
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| 课程网址: | http://ocw.mit.edu/courses/electrical-engineering-and-computer-sc... |
| 主讲教师: | Rohit Singh (Teaching Assistant) ; Tommi Jaakkola Ali Mohammad (Teaching Assistant) |
| 开课单位: | 麻省理工学院 |
| 开课时间: | 信息不详。欢迎您在右侧留言补充。 |
| 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: | 机器学习算法; 统计推断; 泛化; 模型选择; 线性/加性模型; 主动学习; 支持向量机; 隐马尔可夫模型; 贝叶斯网络; 分类、; 线性回归 |
| 课程来源: | 麻省理工学院公开课 |
| 最后编审: | 2018-06-11：cmh |
| 阅读次数: | 2 |