Paul MahlerinGoogle ColabRAPIDS cuDF for accelerated data science on Google ColabUpdate: RAPIDS cuDF now instantly accelerates pandas with zero code changes in Google Colab. Try out the tutorial in a Colab notebook…Dec 13, 20223Dec 13, 20223
Paul MahlerinRAPIDS AIAnnouncing RAPIDS on WSL for WindowsWe are announcing General Availability for RAPIDS on Windows 11 via WSL, the Windows Subsystem for Linux. Usability is now part of our…Sep 21, 2022Sep 21, 2022
Paul MahlerinRAPIDS AITime Moves Forward — RAPIDS Hits Its Three Year MilestoneRelease 21.10 continues to work toward the vision of making GPU speed available to everyoneOct 11, 2021Oct 11, 2021
Paul MahlerinRAPIDS AIA Cook’s Tour of RAPIDS Release 21.08We’re excited to announce the release of RAPIDS version 21.08! See the latest core features and community updates.Aug 16, 2021Aug 16, 2021
Paul MahlerinRAPIDS AIRAPIDS Release 21.06RAPIDS Versioning for Continuous ImprovementJun 17, 2021Jun 17, 2021
Paul MahlerinRAPIDS AIRegression Blog 2: We’re Practically Giving These Regressions AwayUsing Regularized Regression on the regular? RAPIDS will let you train your models much faster on GPUs.Sep 6, 20191Sep 6, 20191
Paul MahlerinRAPIDS AIWhen Less is More: A brief story about XGBoost feature engineeringA glimpse into how a Data Scientist makes decisions about featuring engineering an XGBoost machine learning modelJun 24, 20191Jun 24, 20191
Paul MahlerinRAPIDS AIEssential Machine Learning with Linear Models in RAPIDS: part 1 of a series.This blog is the first in a series about regression analysis in RAPIDS, an open GPU data science platform. There are many varieties of…Mar 5, 2019Mar 5, 2019