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Rapid Prototyping In Data Science With Big Data & Python
--client
pyohio
--show
pyohio_2017
--room barbietootle 12366 --force
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Marks
Author(s):
David Ziganto
Location
Barbie Tootle
Date
jul Sun 30
Days Raw Files
Start
15:00
First Raw Start
13:42
Duration
00:50:00
Offset
1:17:01
End
15:50
Last Raw End
15:08
Chapters
00:00
0:11:18
0:41:17
Total cuts_time
42 min.
http://pyohio.org/schedule/presentation/295/
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Description:
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Rapid prototyping in data science often hits a wall when data is too large to fit into memory. When this happens, teams are often confronted with two options: sampling techniques or porting to Apache Spark. Both have significant drawbacks. In this talk, I'll demonstrate how to leverage Dask and Scikit-learn to solve this problem.
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