User Portlet
Featured Contributor
| Discussions |
|---|
| So for me at 10:55am tomorrow there will be a 52.5% eclipse. In[1]:= loc = Entity["City", {"Cork", "Cork", "Ireland"}]; eclipse = SolarEclipse[DateObject[{2025, 3, 29}]]; corkMax = SolarEclipse[eclipse, {"LocalMaximumEclipseDate",... |
| Wow! These are beautiful! |
| Looks like the people of Sunderland have a long journey to get their Wimpy burgers |
| Nice! It's great to see how compact this is! |
| &[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/7931d674-9ad6-4d66-b85e-0da024560dd8 [Original]: https://www.wolframcloud.com/obj/f70fae6c-5783-453a-b9a9-f968932dab6b |
| Have you considered using truncated versions of any of the networks contained in the Wolfram Net Repository as feature extractors? I imagine a truncated version of the Deep Speech 2 network would make sense if your interested in *what* was said ... |
| Another option is to sort words by their frequency of occurrence in the English language using WordFrequencyData: sortedWords = SortBy[words, -WordFrequencyData[#] &] This gives the following result: Shallow[sortedWords] ... |
| On Windows you can use `data = ReadList["!netsh wlan show networks mode=bssid", "String"];` The tidying up will be slightly different however. |