Data science demands the interactive exploration of large volumes of data, combined with computationally intensive algorithms and analytics. Today, the computational limits of CPUs are being realized, and a new approach is needed.
In this talk, we will discuss how GPUs can enable data scientists to perform feature engineering and train machine learning models at scale using RAPIDS
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