sites for solving contests for machine learning
- May 07
✔️ Kaggle is the most famous platform for conducting machine training contests. There are both large competitions from famous companies with large prize and training competitions for training machine learning skills. KagGle has a built-in Jupyter Notebook (a la Google Colab), where you can run the code (even if you do not participate in competitions). The competition has discussions of participants and publicly accessible examples of problems of problems - the code that other participants post. It is excellent to study how other people solve problems and pump skills.
Also on Kaggle there is a section of Datasets, which contains many open datasets for different tasks. It is convenient when you need to find a dataset to create your own pet project or just practice ML.
However, Kaggle contests in which there is a prize fund are rather complicated. 99% of them are not suitable for beginners, the chance to win them is quite small. If you are a beginner and want to fight for prizes in competitions, take a closer look at the next platforms:
✔️ Boosters.pro is a Russian platform for conducting machine training competitions in Eastern Europe. Now there are no active computers, but they sometimes appear. They are easier than on Kaggle, and they can really fight for prizes without spending all his free time on this.
✔️ Competitions.codalab.org - international platform for competitions. Here, not very large companies (those that do not go to Kaggle) often hold competitions here.
✔️ ALL CUPS - Platform for competitions from mail.ru. Here competitions are not only in ml - also on programming, systemic administration and creation of game bots. Competitions come not only from Mail.Ru, but also from partners. The level of tasks allows you to participate in them without a huge experience of solving problems. For completely newcomers there is a sandbox - training tasks.
The All Cups has a whole community tied to competitions, where people communicate and exchange experience. Here is the VK community, plus each track (ML, programming, etc.) has its own chats in a telegram. This is a great opportunity to get into a party and gain experience in solving problems.
✔️ Data Science Works is a new platform for solving ML contests from Sber. While the functionality of the platform is small: the creation and holding of championships. I think the community and other functions of the built-in Kolab will soon appear.
The platform already has the announcement of the first competition: modeling preferences of customers of products. The competition starts on November 30. It seems that contests on this platform will also be available to beginners and non-professional.
Platforms for solving contests for machine learning, part 2.
The first part of the selection is here.
This part of the selection appeared thanks to the comments to the post with the first part. Thank you!
✔️ Drivendata. Anglo -speaking platform of the Kaggle type. It is mostly on the main and high complexity of the task with prize. There are tasks from Facebook AI, for example. There is a current competition with prize $ 20,000
✔️ Zindi.africa. Also a platform with machine learning competitions. As far as I remember from their communication with the ML community, many participate here in competitions and even win prize. I think it is suitable for near-new ones who begin to try themselves in real competitions.
In addition to the competitions, the site has a lot of useful things: forum, career hub and training materials. I don’t know how useful a career hub will be - work there is offered mainly in Asia and Africa; But in training materials you can find a lot of useful things. There - a bunch of Satya and Tutorians on all aspects of Data Science, starting with how to use a colab and train BERT until work and career tips. There is also a separate collection with the stories of the winners of the competition: a good opportunity to adopt experience.
✔️ AI CROWD. Here, too, the competitions of the Foreign Ministry and hard segment with prize, as in Drivendata. Among the hosts are famous organizations like Openai, Facebook Ai Research (Fair), Berkley, Amazon. The theme of the tasks is very extensive: there are many contests on RL, and on all other aspects of DL (segmentation, detection, etc.). There is also a blog where you can develop and share experience.
✔️ Machine Hack. This is rather a training hub than a full -fledged platform for competitions. There are training mini courses for the smallest beginners in ML, the tasks of testing their skills and training competitions (they are called hackathons). They indicate at what level the competition is suitable.
✔️ ODS competition calendar. As I wrote in the first part of the selection, some companies and conferences hold their own interesting contests, not tied to platforms. To make it easier to track many competitions that are held in a heap of different places, in the community Open Data Science opened the competition calendar. Very convenient: the name, data type (CV/NLP/...), prize and duration are immediately shown.
I will also add that sometimes ML contests are held in isolation from the platforms, and tied to conferences. Such competitions need to be tracked separately. A good beginning will be an entry into some ML community where people are interested in contests and monitor them.
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