Accelerating k-nearest neighbors 600x using RAPIDS cuML, by Chris Deotte, RAPIDS AI

k-Nearest Neighbors classification is a straightforward machine learning technique that predicts an unknown observation by using the k most similar known observations in the training dataset. In the…

Accelerating k-nearest Neighbors 600x Using RAPIDS cuML

RAPIDS Going the Distance in .12. RAPIDS in 2020: Scale and Stability., by Josh Patterson, RAPIDS AI

An Analysis of BERT (NLP) for Assisted Subject Indexing for Project Gutenberg: Cataloging & Classification Quarterly: Vol 60, No 8

RAPIDS Going the Distance in .12. RAPIDS in 2020: Scale and Stability., by Josh Patterson, RAPIDS AI

Accelerating k-nearest Neighbors 600x Using RAPIDS cuML

RAPIDS Going the Distance in .12. RAPIDS in 2020: Scale and Stability., by Josh Patterson, RAPIDS AI

Accelerating k-nearest Neighbors 600x Using RAPIDS cuML

RAPIDS Going the Distance in .12. RAPIDS in 2020: Scale and Stability., by Josh Patterson, RAPIDS AI

Kaggle – RAPIDS AI – Medium

Author: Chris Deotte NVIDIA Technical Blog

Accelerating k-nearest neighbors 600x using RAPIDS cuML, by Chris Deotte, RAPIDS AI