MatrixNet Applications at Yandex - Michael Levin

Yandex School of Data Analysis Conference Machine Learning: Prospects and Applications MatrixNet is a proprietary machine learning tool developed by Yandex and used widely throughout the company. It has different learning modes, such as ranking, regression, classification. The algorithm is based on gradient boosting over decision trees, but its implementation has a lot of heuristics that give strong defense against overfitting. Heuristics and their parameters were o