MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016
Total watch time
12h 10m
at 1× speed · exactly 12 hours, 9 minutes, 34 seconds at 1×
| 1× | 12h 9m 34s |
|---|---|
| 1.25× | 9h 43m 39s |
| 1.5× | 8h 6m 23s |
| 1.75× | 6h 56m 54s |
| 2× | 6h 4m 47s |
Plan to finish
About 13 days at an hour a day
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Videos (15)
12h 10m in total · tick what you've watched
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| Watched | ||||
|---|---|---|---|---|
| 1 |
 1. Introduction, Optimization Problems (MIT 6.0002 Intro to Computational Thinking and Data Science)
|
40:57 | 2017-05-19 | |
| 2 |
 2. Optimization Problems
|
48:04 | 2017-05-19 | |
| 3 |
 3. Graph-theoretic Models
|
50:11 | 2017-05-19 | |
| 4 |
 4. Stochastic Thinking
|
49:50 | 2017-05-19 | |
| 5 |
 5. Random Walks
|
49:21 | 2017-05-19 | |
| 6 |
 6. Monte Carlo Simulation
|
50:05 | 2017-05-19 | |
| 7 |
 7. Confidence Intervals
|
50:29 | 2017-05-19 | |
| 8 |
 8. Sampling and Standard Error
|
46:45 | 2017-05-19 | |
| 9 |
 9. Understanding Experimental Data
|
47:06 | 2017-05-19 | |
| 10 |
 10. Understanding Experimental Data (cont.)
|
50:33 | 2017-05-19 | |
| 11 |
 11. Introduction to Machine Learning
|
51:31 | 2017-05-19 | |
| 12 |
 12. Clustering
|
50:40 | 2017-05-19 | |
| 13 |
 13. Classification
|
49:54 | 2017-05-19 | |
| 14 |
 14. Classification and Statistical Sins
|
49:25 | 2017-05-19 | |
| 15 |
 15. Statistical Sins and Wrap Up
|
44:43 | 2017-05-19 |
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