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Comments for [[Generating_random_data_with_controlled_prior_probabilities_slecture_ECE662S14_Gheith| Generating Random Data with Controlled Prior Probabilities]] | Comments for [[Generating_random_data_with_controlled_prior_probabilities_slecture_ECE662S14_Gheith| Generating Random Data with Controlled Prior Probabilities]] | ||
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'''Question:''' The sound and image quality are much better when viewing the slecture on Media site. Is there a way to enable Media Site viewing without login? | '''Question:''' The sound and image quality are much better when viewing the slecture on Media site. Is there a way to enable Media Site viewing without login? | ||
*answer here | *answer here | ||
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+ | '''Write Question/Comment Here''' | ||
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+ | '''Write Question/Comment Here''' | ||
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[[Generating_random_data_with_controlled_prior_probabilities_slecture_ECE662S14_Gheith| Back to Generating Random Data with Controlled Prior Probabilities]] | [[Generating_random_data_with_controlled_prior_probabilities_slecture_ECE662S14_Gheith| Back to Generating Random Data with Controlled Prior Probabilities]] |
Latest revision as of 16:12, 14 May 2014
Comments for Generating Random Data with Controlled Prior Probabilities
A slecture by Alex Gheith
Please leave me comment below if you have any questions, if you notice any errors or if you would like to discuss a topic further.
Review by Abdullah Alshaibani
- The video is very organized
- Clearly explains the proper method to generate a Gaussian in single dimension and two dimensions in Matlab
- Takes long enough such that the viewer can understand the concepts
- The parts that need some fixing:
- the sound is very low
- The video quality does not help the viewer follow the code
- I believe there was a mistake in slide 8 where the two classes were switched
Question: The sound and image quality are much better when viewing the slecture on Media site. Is there a way to enable Media Site viewing without login?
- answer here
Write Question/Comment Here
Write Question/Comment Here
Back to Generating Random Data with Controlled Prior Probabilities