MatrixNet
MatrixNet is a proprietary machine learning algorithm developed by Yandex and used widely throughout the company products. The algorithm is based on gradient boosting, and was introduced since 2009.[1][2]
Application
CERN is using the algorithm to analyze, and search through the colossal data outputs generated by the use of the Large Hadron Collider.[3]
See also
- Yandex Zen
References
- v
- t
- e
Yandex
- Ilya Segalovich (co-founder)оююг
- Arkady Volozh (co-founder)
- Tigran Khudaverdyan
- Alice
- Cocaine (PaaS)
- Elliptics
- Kinopoisk
- MatrixNet
- Toloka
- Yandex.Auto
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- Zen (recommendation system)
Category