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DataSource.ai

Data Science Competitions For Startups

1 follower

Data Science Competitions For Startups

1 follower

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We democratize data science competitions, allowing startups to sponsor challenges and award prizes accessible to them. We give startups access to a global talent pool to help them solve their problems using machine learning.
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Company Info
datasource.ai/en
DataSource.ai Info
Launched in 2020View 2 launches
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This is the 2nd launch from DataSource.ai. View more

DataSource.ai 2.0

Community-funded data science tournaments
Community-funded data science tournaments, where the competition is run by playoffs, best players win the pool prize, and everybody else receive the winners' ML models. Test your competitive spirit, experience an adrenaline rush and prove your data skills.
DataSource.ai 2.0 gallery image
DataSource.ai 2.0 gallery image
DataSource.ai 2.0 gallery image
DataSource.ai 2.0 gallery image
DataSource.ai 2.0 gallery image
DataSource.ai 2.0 gallery image
Free Options
Launch tags:
Developer Tools•Artificial Intelligence
Launch Team
Daniel Morales

What do you think? …

Vivek
Vivek
GitNoter

GitNoter

wow it look awesome
Report
4yr ago
Daniel Morales
Daniel Morales
DataEndpoint.co

DataEndpoint.co

Maker
@vivekweb2013 thanks! Hope you can try it
Report
4yr ago
Daniel Morales
Daniel Morales
DataEndpoint.co

DataEndpoint.co

Maker
Hello hunters! We're launching version 2.0 of the data science competitions. Here the competitions are quite different. - It's a community-funded data science tournament. - We run short-term tournaments - The competitions go through playoffs, with: quarterfinals, semifinals, and finals. - Each of this stages has different dataset releases, under the same ML problem. This faithfully simulates the input of new real data, and the improvement of the model (via re-training) based on them. It also keeps the excitement high, as no one has their position completely won! - In the playoffs you will compete head-to-head against other randomly picked data scientist (in the quarterfinals), and then the best of each bracket will compete against each other. - All backers/participants win something very valuable: the winner's ML models in a Jupyter Notebook - We choose exciting and unique ML problems to solve - We guarantee the transparency of the competition by giving the winner's models to all participants and publishing the true values (of the datasets) at the end of each stage - The prize pool will be distributed as follows: 50% to the winner, 30% to the second place and 20% to the third place. What do you think of the idea? We love feedback and would be happy to hear from you. Ready to get an adrenaline rush and show what you know? Go ahead and join us!
Report
4yr ago
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DataSource.ai Launches

DataSource.ai 2.0 Community-funded data science tournaments

Launched on May 21st, 2021

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