Top Tweets for #cuML
New Video : Boost Machine Learning Model Creation 100x Faster with NVIDIA cuML
Video Link : https://t.co/UPPlvTyHvE
#DataScience #pandas #cuML #Python #RAPIDS #MachineLearning #NVIDIA #Innovation #TechBreakthroughs #AIAdvancements #GPU

People who say that Python is slow have never seen it fly on a GPU! 🐍
#cuml #cudf #pandas #scikitlearn
Hear what @MariyaSha888 from Python Simplified has to say about #GTC25 and GPU acceleration of #Python using cuML.
@BoozAllen + @nvidia = Best Paper (of 5) @MLSysConf #MLSys Its a general framework for distance functions that results in fast sparse GPU kernels! You've probably been benefiting for months if you use #cuml @RAPIDSai @cjnolet @BradReesWork @divyegala @32Eaton @zstats @oatesbag
I’m happy to announce the pre-print for our new paper “Semiring Primitives for Sparse Neighborhood Methods on the GPU.” We show that semirings can enable many important neighborhood machine learning methods and provide a novel implementation on the GPU. https://t.co/jRfq9yOy2k
#NLP: Text preprocessing and vectorizing at rocking speed with #RAPIDS cuML https://t.co/MfX5m1Xzv6
#sparsity #AI #machinelearning #deeplearning #V100 #cuML #ML

GPU accelerated #AutoML comes to #TPOT via @rapidsai #cuML @XGBoostProject integration. Build higher accuracy models at scale with confidence much faster and cheaper. https://t.co/qUuihbeMLJ
GPU accelerated #AutoML comes to #TPOT via @rapidsai #cuML @XGBoostProject integration. Build higher accuracy models at scale with confidence much faster and cheaper. https://t.co/fcjhlt4SAk
Wooot! GPU accelerated #AutoML comes to #TPOT via @rapidsai #cuML @XGBoostProject integration. Build higher accuracy models at scale with confidence much faster and cheaper. https://t.co/XONub5KyOF
GPU accelerated #AutoML comes to #TPOT via @rapidsai #cuML @XGBoostProject integration. Build higher accuracy models at scale with confidence much faster and cheaper. https://t.co/oHV8tNwBNu
GPU accelerated #AutoML comes to #TPOT via @rapidsai #cuML @XGBoostProject integration. Build higher accuracy models at scale with confidence much faster and cheaper. https://t.co/o7kLXE0eAc
GPU accelerated #AutoML comes to #TPOT via @rapidsai #cuML @XGBoostProject integration. Build higher accuracy models at scale with confidence much faster and cheaper. https://t.co/EI0MQs597X
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