Name: Machine learning inference on a mobile device
Start: 2019-09-05T18:15:00+01:00
End: 2019-09-05T21:00:00+01:00
Location: Wood Mackenzie Ltd

Welcome to the September PyData Edinburgh event, we are back after our wee summer break!
As always, we will have a main talk, our lightning talks, pizza &refreshments and great chat! This time we are at Wood Mackenzie so come along for a great night.

MAIN TALK
=====================
Bio: Roman Popat is a former biologist turned data scientist. He works freelance helping customers from all industries to grab new opportunities with data driven products. His latest adventure is with a product on the interface of consumer retail and finance. Roman is a former Data Lab employee and has a PhD in microbiology. His weapons of choice are R and Python.

Description:
The traditional workflow for providing ML outputs to a mobile application would be to send data to the cloud, execute the inferences and then send back the predictions. With growing concerns over data governance there are good reasons for this to change. I will outline my experience with current tools designed to allow execution of the model inferences on the device without the need to share any data over the network. This is not a full overview of the technologies, just a postcard from my corner of the industry with some insights and learning from my experience, oh and the models are with SciKit Learn of course. 🙂

LIGHTNING TALKS
========
We still have a few spaces for some lightning talks this month - share your stories! Share your successes & failures! Share your hints & tips! Whether you are a beginner or an expert, we want to hear from you.

If you want to give a lightning talk at this event, send us a message either here on Meetup, through Twitter @PyDataEdinburgh or any other way you know how to find us!

Just 5 minutes, still informal, no need for slides unless you want them — go on, give it a go!

LOGISTICS
===========
Please RSVP to come to this event :)

1815: Doors open, drinks & networking
1845: Talks start - welcome & community announcements followed by our main speaker, then lightning talks.
We'll end the evening with pizza and more refreshments, wrapping up by 2100.

SPONSORS
=============================
As always, we couldn't do this without our sponsors help to provide a venue and drink & pizzas and for this event — Cathcart Associates, Wood Mackenzie, Solarwinds, Lloyds Banking and Canon Medical

CODE OF CONDUCT
====================
The PyData Code of Conduct (https://pydata.org/code-of-conduct/) governs this meetup. To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact the local group organizers (message us on the meetup page). Please also submit a report of any potential Code of Conduct violation directly to NumFOCUS using the link found at https://numfocus.org/code-of-conduct.

Thank you for helping us to maintain a welcoming and friendly PyData community!

Martina Pugliese

Nick Radcliffe

Thomas Kober

Sam Rhynas

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Machine learning inference on a mobile device

Wood Mackenzie Ltd

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Machine learning inference on a mobile device

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