CatBoost Programming Tutorials & Engineering Articles

This article provides insights into GPU-accelerating machine learning model training using CUDA-X Data Science, focusing on tree-based models like XGBoost, LightGBM, and CatBoost.

The article presents a comprehensive playbook developed through extensive experience in Kaggle competitions, detailing seven effective modeling techniques for handling tabular data.

This article discusses Cloudflare's advancements in scalable machine learning, focusing on the technical strategies that have improved processing times for HTTP requests while enhancing security th...

The article discusses how Cloudflare uses machine learning to automatically discover API endpoints and generate schemas for its API Gateway customers.

The article introduces FastTreeSHAP, an open-source Python package designed to accelerate SHAP value computations for tree-based models.

The article discusses advancements in AutoML using NVIDIA GPUs and RAPIDS, highlighting how AutoGluon simplifies the process of achieving state-of-the-art machine learning accuracy while significan...

This article provides an in-depth look at how to leverage machine learning techniques to detect fraud, specifically through the lens of the Kaggle IEEE CIS Fraud Detection competition.

The article discusses Cloudflare's Bot Management platform, focusing on its integration of machine learning and various detection mechanisms to combat malicious bot traffic.