【MIT公开课】6.0002 计算思维与数据科学导论

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2019-06-09 20:51:33
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来自麻省理工开放课程(https://ocw.mit.edu/courses) 本课程为麻省理工计算机系,入门课程6.0002, 课程英文名:Introduction to Computational Thinking and Data Science 希望将一些经典的CS课程分享给大家,一起学习编程~ 您的点赞投币和关注是我的动力~
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视频选集
(9/15)
1. Introduction and Optimization Problems
40:57
2. Optimization Problems
48:04
3. Graph-theoretic Models
50:11
4. Stochastic Thinking
49:50
5. Random Walks
49:21
6. Monte Carlo Simulation
50:05
7. Confidence Intervals
50:29
8. Sampling and Standard Error
46:46
9. Understanding Experimental Data
47:06
10. Understanding Experimental Data (cont.)
50:33
11. Introduction to Machine Learning
51:31
12. Clustering
50:40
13. Classification
49:54
14. Classification and Statistical Sins
49:25
15. Statistical Sins and Wrap Up
44:43
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