What's common between estimating glacier ice thickness, distinguishing diseases with…
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What's common between estimating glacier ice thickness, distinguishing diseases with similar symptoms, and forecasting demand at new parcel pickup points? CatBoost. CatBoost is a machine-learning library widely used by researchers and developers around the world. Developed at Yandex and released as open source in 2017, it helps find patterns and make predictions from structured data. One of its biggest strengths is handling categorical information — things like cities, product names, and IDs — which makes it easier to build ML models using real-world data. Next year marks a decade since we
Posted by Yandex (35.8k followers) 1 days ago · 23 likes · 1.1k views · view the original post on X. Kept by the Dev Radar as AI dev tools.
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