[GigaCourse.com] Udemy - Generate and visualize data in Python and MATLAB磁力链接_[GigaCourse.com] Udemy - Generate and visualize data in Python and MATLABbt种子下载_[GigaCourse.com] Udemy - Generate and visualize data in Python and MATLAB迅雷下载

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

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	2020-9-16 00:43	2024-5-30 13:10	243	2.2 GB	37

磁力链接

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迅雷链接

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二维码链接

[GigaCourse.com] Udemy - Generate and visualize data in Python and MATLAB的二维码

种子下载(838888不存储任何种子文件)

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文件列表

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

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