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How errors in predictions can lead to opportunities

September 21, 2017 @ 18:30 - 20:00

Hi all!
In this afternoon we have Daniel Castejon, data mentor at Ubiqum, who will talk about errors in predictions and how we can learn from them.
Errors in predictions are usually seen as problems to be solved. While this is the case if our intention is to improve our error metrics, errors can show us not only possible improvements on our predictive models but also details or insights that were not taken into account or not known when building the model.
We will go through all the process of the error analysis on a case studio: the wi-fi location problem in interior spaces. The dataset of the case studio comes from a repository ( https://archive.ics.uci.edu/ml/datasets/ujiindoorloc ).
Some papers have been written about how different teams built their models. Not much has been said though about the error on the predictions they were having.
Join us for some cold beers and a good discussion! 🙂
See you!

Organizer

Ubiqum Code Academy
Email:
informacion@ubiqum.com
Website:
www.ubiqum.com

Venue

Itnig
C/ Àlaba 61, 5-2
Barcelona, Barcelona 08005 Spain
+ Google Map
Phone:
931066929
Website:
www.ubiqum.com

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