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6.867机械学习（麻省理工学院）6.867 Machine Learning (MIT) |
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| 课程网址: | http://ocw.mit.edu/courses/electrical-engineering-and-computer-sc... |
| 主讲教师: | Rohit Singh; Prof. Tommi Jaakkola; Ali Mohammad |
| 开课单位: | 麻省理工学院 |
| 开课时间: | 2006-07-15 |
| 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; 线性回归; 后现代的机器学习方法 |
| 课程来源: | 麻省理工公开网 |
| 最后编审: | 2020-05-30：王勇彬(课程编辑志愿者) |
| 阅读次数: | 762 |