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Name: Wise.io a Machine-Learning Platform
--client continuum --show pydata_sv_2013 --room a2 2241 --force
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Author(s):	Henrik Brink
Location	A2
Date	mar Tue 19	Days Raw Files
Start	14:05	First Raw Start	14:07
Duration	00:50:00	Offset	0:02:34
End	14:55	Last Raw End	15:57
Chapters	00:00 0:33:49
Total cuts_time	36 min.

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At wise.io we are building a machine-learning platform that makes efficient
and accurate learning algorithms available in an easy-to-use service. In this
presentation, I will describe how the platform works and how we're using
Python to make it scalable and accessible.

Machine-learning is an active field of data science, where sophisticated
models are "trained" on data and used to enable human-like cognition in data
analysis pipelines and data-heavy applications. Data scientists need the most
efficient and most accurate machine-learning implementations, while developers
need on-ramps that make it easy to incorporate machine-learning into their
applications.

Highlights of our platform include one-step data ingestion and model building,
validation, hosting, integration and sharing. A domain intelligence
"marketplace" enables domain-specific knowledge to be incorporated in a model
with a click (or a "git push") and is scaled automatically to handle large
datasets. We use Python and a range of cloud and data frameworks to make this
possible, including Anaconda, PiCloud, Pandas and PyTables.

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