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Data Science Design Patterns
--client
pyconau
--show
pycon_au_2016
--room Room_106 11308 --force
Next: 1 Breaking up arrays up into chunks for fun and science with Xarray and Dask
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Marks
Author(s):
Tennessee Leeuwenburg
Location
Room 106
Date
aug Fri 12
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Start
13:40
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0:40:00
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None
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14:20
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https://2016.pycon-au.org/schedule/78/view_talk
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Most 'data science' projects fall into just a few well-understood design patterns. This talk de-mystifies what those patterns are, how to use them practically, and how to get to grips with your data. We'll a look at how to understand the input/output structure of the models, how to design a reasonable 'experiment', and how to get started. We'll look at getting to grips with problems by simple data sets that can fit entirely on-screen, designing the basic 'form' of the machine before levelling up to bigger data and badder algorithms. All of this will be shown using Python tools, libraries and running code.
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