Name: Big data, machine learning and maps: lessons learned on aerial imagery.
Start: 2019-03-07T18:15:00Z
End: 2019-03-07T21:15:00Z
Location: Wood Mackenzie Ltd

Welcome to the March PyData Edinburgh event! As always, we will have a main talk, a few lightnings, pizza and beer and good chats! Please RVSP and join along. This month our lovely hosts are Wood Mackenzie.

MAIN TALK
=====================
Bio: Olivia Wilson is a Research Scientist at Ordnance Survey. She specialises in scale within machine learning applied to the investigation of aerial imagery. Her daytime job is managing the python code repository used to train neural networks on aerial images. She holds an MSc in Computer Science with distinction.

Description: Meet Ordnance Survey (OS), the national mapping agency of Great Britain with a wealth of data going back centuries, and now looking forward into the geospatial age. Most people know us for our paper map products of popular walking and hiking destinations, but the main resource we have is from digital data such as MasterMap – the most detailed topographic map of Great Britain.
But where does Python come into all this, you ask? In many areas across the business Python is a key language, particularly within our data science and research teams. We use python in our deep learning research using python libraries such as keras, tensorflow and quiver. So come and find out more about our investigation of models trained on aerial imagery.

LIGHTNING TALKS
========
We have an exciting set of Lightning Talks signed up, which this month
will include a few *slightly* longer ones for reasons that will be
revealed on the night! It’s gonna be amazing!

LOGISTICS
===========
Please sign up to come to the 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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Big data, machine learning and maps: lessons learned on aerial imagery.

Wood Mackenzie Ltd

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Big data, machine learning and maps: lessons learned on aerial imagery.

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