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[Tutorialsplanet.NET] Udemy - Simulate, understand, & visualize data like a data scientist

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2020-6-22 02:18 2024-7-22 11:44 147 424.44 MB 41
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文件列表
  1. 1. Introductions/1. Overall goals of this course.mp47.79MB
  2. 1. Introductions/2. Why and how to simulate data.mp48.9MB
  3. 1. Introductions/3. What is signal and what is noise.mp48.45MB
  4. 1. Introductions/4. The importance of visualization.mp411.44MB
  5. 10. How to become a proactive data scientist/1. Proactive vs. reactive data science.mp46.23MB
  6. 10. How to become a proactive data scientist/2. Understand data origins and features.mp45.36MB
  7. 10. How to become a proactive data scientist/3. Write down or sketch the important results.mp48.58MB
  8. 10. How to become a proactive data scientist/4. Don't give up -- every mistake is a learning opportunity!.mp44.68MB
  9. 11. Conclusions and how to learn more/1. Conclusions and how to learn more.mp44.92MB
  10. 2. Descriptive statistics and basic visualizations/2. Mean, median, standard deviation, variance.mp412.33MB
  11. 2. Descriptive statistics and basic visualizations/3. Interquartile range.mp48.25MB
  12. 2. Descriptive statistics and basic visualizations/4. Histogram.mp46.39MB
  13. 2. Descriptive statistics and basic visualizations/5. Violin plot.mp48.71MB
  14. 3. Data distributions/2. Normal and uniform distributions.mp414.6MB
  15. 3. Data distributions/3. QQ plot.mp410.85MB
  16. 3. Data distributions/4. Poisson distribution.mp412.75MB
  17. 3. Data distributions/5. Log-normal distribution.mp46.34MB
  18. 3. Data distributions/6. Measures of distribution quality (SNR and Fano factor).mp46.67MB
  19. 3. Data distributions/7. Cohen's d for separating distributions.mp410.69MB
  20. 4. Time series signals/2. Sharp transients.mp48.87MB
  21. 4. Time series signals/3. Smooth transients.mp419.86MB
  22. 4. Time series signals/4. Repeating sine, square, and triangle waves.mp48.31MB
  23. 4. Time series signals/5. Multicomponent oscillators.mp46.21MB
  24. 4. Time series signals/6. Dipolar and multipolar chirps.mp415.43MB
  25. 5. Time series noise/2. Seeded reproducible normal and uniform noise.mp49.59MB
  26. 5. Time series noise/3. Pink noise (aka 1f aka fractal).mp412.12MB
  27. 5. Time series noise/4. Brownian noise (aka random walk).mp48.04MB
  28. 5. Time series noise/5. Multivariable correlated noise.mp413.22MB
  29. 6. Image signals/2. Lines and edges.mp46.51MB
  30. 6. Image signals/3. Sine patches and Gabor patches.mp49.18MB
  31. 6. Image signals/4. Geometric shapes.mp47.3MB
  32. 6. Image signals/5. Rings.mp43.82MB
  33. 7. Image noise/2. Image white noise.mp45.06MB
  34. 7. Image noise/3. Checkerboard patterns and noise.mp45.15MB
  35. 7. Image noise/4. Perlin noise in 2D.mp49.93MB
  36. 7. Image noise/5. Filtered 2D-FFT noise.mp48.48MB
  37. 8. Data clustering in space/2. Clusters in 2D.mp410.93MB
  38. 8. Data clustering in space/3. Clusters in N-D.mp48.95MB
  39. 9. Spatiotemporal structure using forward models/2. Forward model 2D sheet.mp431.41MB
  40. 9. Spatiotemporal structure using forward models/3. Mixed overlapping forward models.mp418.41MB
  41. 9. Spatiotemporal structure using forward models/4. Example Simulate human brain (EEG) data.mp433.73MB
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