simonpcouch, 15 days ago to random

tidymodels has long supported parallelizing model fits across CPU cores. A couple of the modeling engines that #rstats #tidymodels supports for gradient boosting—#XGBoost and #LightGBM—have their own tools to parallelize model fits. A new blog post explores whether tidymodels users should use tidymodels' implementation, the engines', or both.

https://www.simonpcouch.com/blog/2024-05-13-parallel/

carl24k, 6 months ago to ChatGPT

What's bigger than #chatgpt 4 for #datascientist 's and #machinelearningengineer 's working in #structureddata ? I'd say its #xgboost 2.0! Now out with 2.0.2 (I never trust a .0 release 😉 ). #llm get all the #aihype these days, but gradient boosting is the revolutionary tech that some say "killed data science" by making it too easy! 2.0 Includes enhancments like #gpu support and learning to rank, not to mention supporting the latest pandas. https://github.com/dmlc/xgboost/releases

itnewsbot, 9 months ago to ArtificialIntelligence

2023 Hackaday Prize: Two Bee Or More Bee Swarm Detection - In the bustling world of bees, swarming is the ultimate game of real estate shuffl... - https://hackaday.com/2023/08/21/2023-hackaday-prize-two-bee-or-more-bee-swarm-detection/ #artificialintelligence #artificalintelligence #greenhacks #beekeeping #xgboost #lora #bee