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Using Jupyter to Cluster Netrunner Decks for Fun (but not Profit)
--client
safia
--show
jdc16
--room civis 10640 --force
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Marks
Author(s):
Richard Harris
Location
Civis
Date
feb Sat 20
Days Raw Files
Start
09:50
First Raw Start
09:44
Duration
20:00
Offset
0:05:33
End
10:10
Last Raw End
10:24
Chapters
00:00
0:00:03
Total cuts_time
16 min.
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Using_Jupyter_to_Cluster_Netrunner_Decks_for_Fun_but_not_Profit.json
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Netrunner is an exceptionally geeky living card game with an active competitive scene and growing card pool. I use Jupyter notebooks (particularly some of the widgets) along with k-means clustering and T-SNE dimensionality reduction to understand what decks people are running. This is an accessible talk with a focus on Jupyter magic -- no prior knowledge of card games or machine learning required!
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2016-02-20/09_44_27.dv
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2016-02-20/10_03_16.dv
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2016-02-20/10_03_26.dv
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2016-02-20/10_06_33.dv
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vlc ~/Videos/veyepar/safia/jdc16/dv/civis/2016-02-20/10_06_33.dv :start-time=0107.0 --audio-desync=0
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2016-02-20/10_08_24.dv
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2016-02-20/10_03_16.dv
2016-02-20/10_03_26.dv
2016-02-20/10_06_33.dv
2016-02-20/10_08_24.dv
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