Index of ucg/ alg_ds/
- ..
- 1. Introduction, Optimization Problems (MIT 6.0002 Intro to Computational Thinking and Data Science)-C1lhuz6pZC0.mp3
- 1. Introduction, Optimization Problems (MIT 6.0002 Intro to Computational Thinking and Data Science)-C1lhuz6pZC0.mp4
- 10. Understanding Experimental Data (cont.)-fQvg-hh9dUw.mp3
- 10. Understanding Experimental Data (cont.)-fQvg-hh9dUw.mp4
- 11. Introduction to Machine Learning-h0e2HAPTGF4.mp3
- 11. Introduction to Machine Learning-h0e2HAPTGF4.mp4
- 12. Clustering-esmzYhuFnds.mp3
- 12. Clustering-esmzYhuFnds.mp4
- 13. Classification-eg8DJYwdMyg.mp3
- 13. Classification-eg8DJYwdMyg.mp4
- 14. Classification and Statistical Sins-K2SC-WPdT6k.mp3
- 14. Classification and Statistical Sins-K2SC-WPdT6k.mp4
- 15. Statistical Sins and Wrap Up-iOZVbILaIZc.mp3
- 15. Statistical Sins and Wrap Up-iOZVbILaIZc.mp4
- 2. Optimization Problems-uK5yvoXnkSk.mp3
- 2. Optimization Problems-uK5yvoXnkSk.mp4
- 3. Graph-theoretic Models-V_TulH374hw.mp3
- 3. Graph-theoretic Models-V_TulH374hw.mp4
- 4. Stochastic Thinking--1BnXEwHUok.mp3
- 4. Stochastic Thinking--1BnXEwHUok.mp4
- 5. Random Walks-6wUD_gp5WeE.mp3
- 5. Random Walks-6wUD_gp5WeE.mp4
- 6. Monte Carlo Simulation-OgO1gpXSUzU.mp3
- 6. Monte Carlo Simulation-OgO1gpXSUzU.mp4
- 7. Confidence Intervals-rUxP7TM8-wo.mp3
- 7. Confidence Intervals-rUxP7TM8-wo.mp4
- 8. Sampling and Standard Error-soZv_KKax3E.mp3
- 8. Sampling and Standard Error-soZv_KKax3E.mp4
- 9. Understanding Experimental Data-vIFKGFl1Cn8.mp3
- 9. Understanding Experimental Data-vIFKGFl1Cn8.mp4