CodeML Hackathon : A Machine Learning Experience
Come join more than 200 participants to tackle multiple ML challenges and win prizes!
October 5 - 6 • In person
CodeML Hackathon
A Machine Learning Experience
Come join more than 200 participants to tackle multiple ML challenges and win prizes!
October 5 - 6 • In person
About
CodeML is a unique hackathon. Spread over 48 hours, it consists of a series of challenges on machine learning of increasing difficulty. This event is the perfect opportunity for participants to familiarize themselves with different aspects of machine learning methods! For those new to the field, this competition will allow you to learn a lot as we prepared documentation and tools for you to start! For veterans, we have also created some tough challenges for you to enjoy! Many prizes to win!
SEMLA is a Quebec-based research group that brings together researchers in software engineering and applied machine learning from Quebec and Canadian universities specializing in the engineering of intelligent software systems.
Come practice or learn more about machine learning as you tackle our challenges of ascending difficulty!
Assist to our workshops given by industry professionals coming from top companies to learn key skills for applying ML in real life
Talk with our sponsors to expand your network and obtain graduate or internship opportunities!
Have fun with your team and try to win one of our prizes! There's up to 2000$ value of prizes to win excluding surprises!
Ressources
If you want to start learning how to use Python and create machine learning models, here are some resources to help you get started!
https://www.ibm.com/cloud/learn/machine-learning (machine learning)
https://github.com/ia-z/ia-z (full course on data science in french)
https://www.explorium.ai/wiki/supervised-learning/ (intro to Supervised learning)
https://towardsdatascience.com/ai-explainability-requires-robustness-2028ac200e9a (robustness and explainability)
https://en.wikipedia.org/wiki/Fairness_(machine_learning) (fairness in machine learning)
Schedule
All times are in EST.
Speakers
Stay tuned as more speakers will be added here soon! Do you know someone who would like to speak? email us at comitepolyai@gmail.com!
FAQ
Sponsors
