Accelerating Spark 3.0 and XGBoost End-to-End Training and Hyperparameter Tuning – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-07T19:00:00Z http://www.open-lab.net/blog/feed/ Carol McDonald <![CDATA[Accelerating Spark 3.0 and XGBoost End-to-End Training and Hyperparameter Tuning]]> http://www.open-lab.net/blog/?p=21124 2023-03-22T01:09:02Z 2020-10-05T18:30:00Z At GTC Spring 2020, Adobe, Verizon Media, and Uber each discussed how they used Spark 3.0 with GPUs to accelerate and scale ML big data pre-processing,...]]> At GTC Spring 2020, Adobe, Verizon Media, and Uber each discussed how they used Spark 3.0 with GPUs to accelerate and scale ML big data pre-processing,...

At GTC Spring 2020, Adobe, Verizon Media, and Uber each discussed how they used Spark 3.0 with GPUs to accelerate and scale ML big data pre-processing, training, and tuning pipelines. There are multiple challenges when it comes to the performance of large-scale machine learning (ML) solutions: huge datasets, complex data preprocessing and feature engineering pipelines��

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