Vincent Warmerdam: The profession of solving (the wrong problem) | PyData Amsterdam 2019

This is a talk on failures of solutions: natural, artificial and "intelligent". It'll be a list of stories. Some of them will include:

how I got an A+ for making the wrong decision on a thesis
how a kaggle competition got hacked
how DeepLearning nearly ruined a recommender
how a redefinition of a problem saved people from hunger
how a timeseries problem could not be solved until it got ignored
My goal is to show that in order to solve a data problem, it might be good to take a step back once in a while and to try to see the bigger picture.

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