Stop Waiting: Make XGBoost 46x Faster With One Parameter Change

Machine Learning Tech Brief By HackerNoon

HackerNoon에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 HackerNoon 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

1M ago 10:14

MP3•에피소드 홈

This story was originally published on HackerNoon at: https://hackernoon.com/stop-waiting-make-xgboost-46x-faster-with-one-parameter-change.
Speed up XGBoost training by 46x with one parameter change. Learn how GPU acceleration saves hours, boosts iteration, and scales to big data.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #feature-engineering, #xgboost, #gpu-acceleration, #nvidia, #nvidia-a100-gpu, #data-science, #cuda, #hackernoon-top-story, and more.
This story was written by: @paoloap. Learn more about this writer by checking @paoloap's about page, and for more stories, please visit hackernoon.com.
XGBoost has built-in support for NVIDIA CUDA, so tapping into GPU acceleration doesn’t require new libraries or code rewrites. This single change can make your training 5–15x faster on large datasets. The Proof: A 46x Speed-up on Amex Default Prediction.