[GigaCourse.com] Udemy - Generate and visualize data in Python and MATLAB番号下载_[GigaCourse.com] Udemy - Generate and visualize data in Python and MATLAB番号下载_[GigaCourse.com] Udemy - Generate and visualize data in Python and MATLAB下载

[GigaCourse.com] Udemy - Generate and visualize data in Python and MATLAB

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种子名称： [GigaCourse.com] Udemy - Generate and visualize data in Python and MATLAB
文件类型：视频
文件数目： 37个文件
文件大小： 2.2 GB
收录时间： 2020-9-16 00:43
已经下载： 3次
资源热度： 246
最近下载： 2024-6-13 11:22

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GigaCourse com Udemy - Generate and visualize data in Python and MATLAB

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[GigaCourse.com] Udemy - Generate and visualize data in Python and MATLAB.torrent

1. Introductions/1. Following along in Python, MATLAB, or Octave.mp445.48MB

1. Introductions/2. Overall goals of this course.mp429.81MB

1. Introductions/3. Why and how to simulate data.mp424.8MB

1. Introductions/4. What is signal and what is noise.mp426.01MB

1. Introductions/5. The importance of visualization.mp432.36MB

2. Descriptive statistics and basic visualizations/2. Mean, median, standard deviation, variance.mp472.92MB

2. Descriptive statistics and basic visualizations/3. Histogram.mp434.31MB

2. Descriptive statistics and basic visualizations/4. Interquartile range.mp450.91MB

2. Descriptive statistics and basic visualizations/5. Violin plot.mp438.6MB

3. Data distributions/2. Normal and uniform distributions.mp482.8MB

3. Data distributions/3. QQ plot.mp436.68MB

3. Data distributions/4. Poisson distribution.mp471.74MB

3. Data distributions/5. Log-normal distribution.mp440.91MB

3. Data distributions/6. Measures of distribution quality (SNR and Fano factor).mp438.91MB

3. Data distributions/7. Cohen's d for separating distributions.mp452.1MB

4. Time series signals/2. Sharp transients.mp465.86MB

4. Time series signals/3. Smooth transients.mp4108.29MB

4. Time series signals/4. Repeating sine, square, and triangle waves.mp470.13MB

4. Time series signals/5. Multicomponent oscillators.mp433.77MB

4. Time series signals/6. Dipolar and multipolar chirps.mp4110.27MB

5. Time series noise/2. Seeded reproducible normal and uniform noise.mp461.61MB

5. Time series noise/3. Pink noise (aka 1f aka fractal).mp493.06MB

5. Time series noise/4. Brownian noise (aka random walk).mp457.27MB

5. Time series noise/5. Multivariable correlated noise.mp465.22MB

6. Image signals/2. Lines and edges.mp454.8MB

6. Image signals/3. Sine patches and Gabor patches.mp486.04MB

6. Image signals/4. Geometric shapes.mp466.98MB

6. Image signals/5. Rings.mp454.97MB

7. Image noise/2. Image white noise.mp467.9MB

7. Image noise/3. Checkerboard patterns and noise.mp448.81MB

7. Image noise/4. Perlin noise in 2D.mp456.4MB

7. Image noise/5. Filtered 2D-FFT noise.mp451.1MB

8. Data clustering in space/2. Clusters in 2D.mp482.72MB

8. Data clustering in space/3. Clusters in N-D.mp435.1MB

9. Spatiotemporal structure using forward models/2. Forward model 2D sheet.mp487.63MB

9. Spatiotemporal structure using forward models/3. Mixed overlapping forward models.mp490.12MB

9. Spatiotemporal structure using forward models/4. Example Simulate human brain (EEG) data.mp4122.52MB