NOTE: This event is part of the fast.ai course workgroup and not a stand-alone ML event. People are expected to watch the lesson videos at home and work on the assignments before the event to be able to fully participate. We are using Google Classroom to share links: pxnenmg
If you want to know more and are not sure about attending please ask in the comments.
**** SPECIAL EVENT ****
Time to put your new skills to the test!! The next session will be a Kaggle-style challenge. We will all work on getting the highest scores and trying to get into the top 10% of the Kaggle leaderboard!!
The two datasets proposed so far are:
Theo: https://www.kaggle.com/c/plant-seedlings-classification/overview
Ross: http://www.robots.ox.ac.uk/~vgg/data/fgvc-aircraft/
(Scored differently - see the classroom for details)
You have a chance to experiment with them now. If you want more information please see the notes from Theo and Ross in the Google Classroom: pxnenmg
This challenge should use all the knowledge from lessons 1-3 from the fast.ai course:
https://course.fast.ai/videos/?lesson=1
https://course.fast.ai/videos/?lesson=2
https://course.fast.ai/videos/?lesson=3
We will start a little earlier if anyone needs help setting up.
Agenda:
18:00 - 18:30 PM - Food & drinks
18:30 - 20:30 PM - Kaggle-a-thon!!
Hope you will join us!
Please only RSVP if you intend to work on the course.
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