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Algorithms to Sample From Streams
--client
big_apple_py
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pygotham_2016
--room Room_CR6 11117 --force
Next: 1 Yosai in the Wild
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Marks
Author(s):
Jonathan Arfa
Location
Room CR6
Date
jul Sat 16
Days Raw Files
Start
16:30
First Raw Start
14:50
Duration
00:25:00
Offset
1:39:11
End
16:55
Last Raw End
16:20
Chapters
00:00
0:10:57
Total cuts_time
21 min.
https://2016.pygotham.org/talks/310/algorithms-to-sample-from-streams
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Sampling is often necessary when you want to understand some aspects of your data but you don’t have the memory or time to analyze the full data set. This is a simple task when your data is on disk - but is much more complicated when your data is an incoming stream of unknown (but very long) length. In this talk I’ll present several methods to do this, some of which get you samples that are unbiased over the entire stream and some of which produce samples that are biased towards the present, and the tradeoffs these algorithms entail.
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production notes
could use the UN's footage, presenter stood up and camera not zoomed out. 1672934_DMOICT Open Camps CR6 130PM-530PM 16 JULY 16.mov start 3:00:23 03:21:30;22 "can you turn off my mic, thanks"
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