The event is open to all teams and individuals, be they undergraduate, postgraduate or PhD students, company employees, researchers or new data scientists, .

The event aims to bridge the gap between the all-increasing complexity of Machine Learning models and performance bottlenecks of the industry. The participants will strive not only to maximize the quality of their predictions, but also to devise resource-efficient algorithms.

This will be a team machine learning competition, divided into two stages. The first stage will be online, open to all participants. The second stage will be the offline on-site finals, in which the top 30 performing teams from the online round will compete at the Yandex office in Moscow.

Students first compete in an online challenge to analyze a provided dataset. There are two separate tracks during the online stage. From the machine learning perspective, the tracks will be similar, yet the restrictions put on the solutions are different for each track. We hope that the two tracks will make the olympiad fascinating for both machine learning competition experts and competitive programming masters, Kaggle winners and ACM champions, as well as everyone eager to solve real world problems with Data. Moreover, we encourage people with different backgrounds, ML and ACM, to team up and push Data Analysis to new frontiers. 30 teams best teams according to the Online Stage will be invited to the Final.First of all, we will ask the source code of your solution (for both tracks) which will be reviewed and validated. The solution must reproduce your submission exactly. Our experts will check that your solution contains no cheating, and your team does not attempt to unfairly pass the rules.

See competition website

This competition has not yet listed it's awards.

Website: https://idao.world/

Managing Organization: Higher School of Economics

Contact:

skarapetyan@hse.ru
+7 495 772 95 90 ext. 27344

Eligibility:
Collegiate undergraduates, graduates, and professionals.

Registration Opens: January 1, 1970

Registration Closes: January 1, 1970

The event is open to all teams and individuals, be they undergraduate, postgraduate or PhD students, company employees, researchers or new data scientists, .

The event aims to bridge the gap between the all-increasing complexity of Machine Learning models and performance bottlenecks of the industry. The participants will strive not only to maximize the quality of their predictions, but also to devise resource-efficient algorithms.

This will be a team machine learning competition, divided into two stages. The first stage will be online, open to all participants. The second stage will be the offline on-site finals, in which the top 30 performing teams from the online round will compete at the Yandex office in Moscow.

Students first compete in an online challenge to analyze a provided dataset. There are two separate tracks during the online stage. From the machine learning perspective, the tracks will be similar, yet the restrictions put on the solutions are different for each track. We hope that the two tracks will make the olympiad fascinating for both machine learning competition experts and competitive programming masters, Kaggle winners and ACM champions, as well as everyone eager to solve real world problems with Data. Moreover, we encourage people with different backgrounds, ML and ACM, to team up and push Data Analysis to new frontiers. 30 teams best teams according to the Online Stage will be invited to the Final.First of all, we will ask the source code of your solution (for both tracks) which will be reviewed and validated. The solution must reproduce your submission exactly. Our experts will check that your solution contains no cheating, and your team does not attempt to unfairly pass the rules.

See competition website

This competition has not yet listed it's awards.

Website: https://idao.world/

Managing Organization: Higher School of Economics

Contact:

skarapetyan@hse.ru
+7 495 772 95 90 ext. 27344

Entry Fee:

Eligibility:
Collegiate undergraduates, graduates, and professionals.

Registration Opens: January 1, 1970

Registration Closes: January 1, 1970