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Study on Competitive Machine Learning in 2022 Sponsored by Genesis Cloud

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Leverage the latest gained knowledge and take immediate action: use Genesis Cloud’s powerful GPU computing services to build and train your models.

The State of Competitive Machine Learning 2022

We are excited to announce the release of a brand new study by  ML Contests, the home of competitive machine learning, which was sponsored by Genesis Cloud. The research led by Harald Carlens brought a comprehensive review of the competitive ML landscape and analyzed over 200 competitions that took place last year. With a deep dive analysis of 67 winning solutions, they identified the best strategies to win at competitive ML.

A few key takeaways:

     
  • Over 80% of competition winners used GPUs to train their models, some required significant hardware investment
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  • Almost all of the winners used Python or PyTorch
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  • The NVIDIA® GeForce™ RTX 3090 was one of the most popular GPUs among winners.

If you want to get prepared for the next competition have a look at our Product webpage to learn more about our GPU instances!

_[The State of Competitive Machine Learning Report 2022 sponsored by Genesis Cloud]_

Supporting research purposes and ML enthusiasts with our GPUs

In the own words of Harald Carlens who conducted the research:

“ML Contests was very fortunate to have the support of Genesis Cloud in producing this research. As well as being a lead sponsor, Genesis Cloud enabled us to reward competition winners who contributed to the report by providing them with compute credits for Genesis Cloud’s renewable-energy compute platform.”

This study is a valuable resource for anyone looking to improve their competitive ML skills. Read the full report HERE and discover the winning strategies that can help you succeed in this exciting and ever-evolving field.

Keep accelerating 🚀

The Genesis Cloud team

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“ML Contests was very fortunate to have the support of Genesis Cloud in producing this research. As well as being a lead sponsor, Genesis Cloud enabled us to reward competition winners” Harald Carlens, research conductor.

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