Training with CatBoost on a CPU/GPU cluster with a dataset of trillion requests helps to identify malicious bot traffic.
CatBoost is a high-performance open source library for gradient boosting on decision trees
Training with CatBoost on a CPU/GPU cluster with a dataset of trillion requests helps to identify malicious bot traffic.
Careem, the leading ride-hailing platform for the greater Middle East, explained how CatBoost helps predicting their customer next move.
Gradient boosting benefits from training on huge datasets. In addition, the technique is efficiently accelerated using GPUs. Read details in this post.