With GPUs, K-nearest Neighbor Algorithm Crosses the Finish Line When Others are in the Starting Blocks

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  • cudf

    cuDF - GPU DataFrame Library

  • Yesterday I talked to u/drekalo in my r/datascience post(I think might have gotten removed) but I posted it in a few other subs too, here is the post in r/MachineLearning. We talked a bit about RAPIDS, which is an Nvidia library for accelerated data engineering/science (it's quit awesome). Today I want to shed light on another RAPIDS ability and that's doing classic ML algorithms FAST. This article talks about K-Nearest Neighbors (KNN) probably the most well known ML algorithm there is. One of Nvidia's Kaggle Grandmasters wrote this great article on how RAPIDS accelerates KNN 600x versus CPU. This speed up might be what many of you need to help get a benchmark on large or complicated data sets, OR get a medal in Kaggle!

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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