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Torrent Contents Size: 2.2 GB
Udemy - Generate and visualize data in Python and MATLAB [GC]
▼ show more 78 files
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1. Bonus lecture.html
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HTML
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2.7 KB
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1. Course materials for this section (reader, MATLAB code, Python code).html
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HTML
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102.4 B
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1. Following along in Python, MATLAB, or Octave.mp4
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MP4
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45.5 MB
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1. Following along in Python, MATLAB, or Octave.srt
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SRT
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9.1 KB
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1.1 genvisdata_dataClusters.zip
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ZIP
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131.3 KB
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1.1 genvisdata_descriptives.zip
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ZIP
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230.1 KB
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1.1 genvisdata_distributions.zip
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ZIP
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199.2 KB
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1.1 genvisdata_forwardModels.zip
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ZIP
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4 MB
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1.1 genvisdata_imageNoise.zip
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ZIP
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310.8 KB
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1.1 genvisdata_imageSignals.zip
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ZIP
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150.4 KB
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1.1 genvisdata_timeSeriesNoise.zip
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ZIP
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162.7 KB
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1.1 genvisdata_timeSeriesSignals.zip
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ZIP
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152.5 KB
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2. Clusters in 2D.mp4
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MP4
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82.7 MB
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2. Clusters in 2D.srt
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SRT
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18.5 KB
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2. Forward model 2D sheet.mp4
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MP4
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87.6 MB
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2. Forward model 2D sheet.srt
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SRT
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16.4 KB
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2. Image white noise.mp4
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MP4
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67.9 MB
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2. Image white noise.srt
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SRT
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12.5 KB
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2. Lines and edges.mp4
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MP4
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54.8 MB
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2. Lines and edges.srt
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SRT
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13.7 KB
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2. Mean, median, standard deviation, variance.mp4
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MP4
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72.9 MB
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2. Mean, median, standard deviation, variance.srt
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SRT
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21.3 KB
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2. Normal and uniform distributions.mp4
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MP4
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82.8 MB
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2. Normal and uniform distributions.srt
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SRT
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20.4 KB
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2. Overall goals of this course.mp4
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MP4
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29.8 MB
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2. Overall goals of this course.srt
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SRT
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6.2 KB
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2. Seeded reproducible normal and uniform noise.mp4
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MP4
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61.6 MB
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2. Seeded reproducible normal and uniform noise.srt
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SRT
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12.2 KB
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2. Sharp transients.mp4
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MP4
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65.9 MB
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2. Sharp transients.srt
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SRT
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15.3 KB
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3. Checkerboard patterns and noise.mp4
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MP4
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48.8 MB
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3. Checkerboard patterns and noise.srt
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SRT
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12.5 KB
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3. Clusters in N-D.mp4
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MP4
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35.1 MB
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3. Clusters in N-D.srt
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SRT
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6.1 KB
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3. Histogram.mp4
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MP4
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34.3 MB
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3. Histogram.srt
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SRT
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9 KB
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3. Mixed overlapping forward models.mp4
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MP4
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90.1 MB
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3. Mixed overlapping forward models.srt
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SRT
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13.4 KB
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3. Pink noise (aka 1f aka fractal).mp4
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MP4
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93.1 MB
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3. Pink noise (aka 1f aka fractal).srt
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SRT
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18.9 KB
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3. QQ plot.mp4
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MP4
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36.7 MB
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3. QQ plot.srt
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SRT
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11.8 KB
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3. Sine patches and Gabor patches.mp4
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MP4
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86 MB
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3. Sine patches and Gabor patches.srt
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SRT
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16.9 KB
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3. Smooth transients.mp4
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MP4
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108.3 MB
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3. Smooth transients.srt
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SRT
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25.2 KB
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3. Why and how to simulate data.mp4
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MP4
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24.8 MB
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3. Why and how to simulate data.srt
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SRT
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7.2 KB
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4. Brownian noise (aka random walk).mp4
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MP4
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57.3 MB
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4. Brownian noise (aka random walk).srt
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SRT
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14.2 KB
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4. Example Simulate human brain (EEG) data.mp4
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MP4
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122.5 MB
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4. Example Simulate human brain (EEG) data.srt
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SRT
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21.8 KB
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4. Geometric shapes.mp4
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MP4
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67 MB
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4. Geometric shapes.srt
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SRT
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15.8 KB
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4. Interquartile range.mp4
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MP4
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50.9 MB
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4. Interquartile range.srt
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SRT
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10.4 KB
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4. Perlin noise in 2D.mp4
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MP4
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56.4 MB
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4. Perlin noise in 2D.srt
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SRT
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11.3 KB
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4. Poisson distribution.mp4
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MP4
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71.7 MB
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4. Poisson distribution.srt
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SRT
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15.9 KB
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4. Repeating sine, square, and triangle waves.mp4
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MP4
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70.1 MB
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4. Repeating sine, square, and triangle waves.srt
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SRT
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13.6 KB
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4. What is signal and what is noise.mp4
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MP4
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26 MB
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4. What is signal and what is noise.srt
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SRT
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4.3 KB
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5. Filtered 2D-FFT noise.mp4
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MP4
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51.1 MB
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5. Filtered 2D-FFT noise.srt
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SRT
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9.3 KB
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5. Log-normal distribution.mp4
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MP4
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40.9 MB
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5. Log-normal distribution.srt
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SRT
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10.4 KB
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5. Multicomponent oscillators.mp4
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MP4
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33.8 MB
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5. Multicomponent oscillators.srt
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SRT
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7.6 KB
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5. Multivariable correlated noise.mp4
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MP4
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65.2 MB
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5. Multivariable correlated noise.srt
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SRT
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15.3 KB
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5. Rings.mp4
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MP4
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55 MB
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5. Rings.srt
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SRT
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14 KB
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5. The importance of visualization.mp4
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MP4
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32.4 MB
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5. The importance of visualization.srt
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SRT
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9.5 KB
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5. Violin plot.mp4
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MP4
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38.6 MB
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5. Violin plot.srt
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SRT
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11.1 KB
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6. Dipolar and multipolar chirps.mp4
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MP4
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110.3 MB
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6. Dipolar and multipolar chirps.srt
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SRT
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22.3 KB
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6. Measures of distribution quality (SNR and Fano factor).mp4
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MP4
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38.9 MB
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6. Measures of distribution quality (SNR and Fano factor).srt
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SRT
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11.6 KB
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7. Cohen's d for separating distributions.mp4
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MP4
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52.1 MB
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7. Cohen's d for separating distributions.srt
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SRT
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12.7 KB
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Readme.txt
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TXT
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921.6 B
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[GigaCourse.com].url
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URL
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0 B
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