GPU-Powered Data Science (NOT Deep Learning) with RAPIDS - KDnuggets

#artificialintelligence 

You do a lot of data wrangling, cleaning, statistical tests, visualizations on a regular basis. You also tinker with a lot of linear models fitting data and occasionally venture into RandomForest. You are also into clustering large datasets. However, given the nature of the datasets you work on (mostly tabular and structured), you don't venture into deep learning that much. You would rather put all the hardware resources you have into the things that you actually do on a day-to-day basis, than spending on some fancy deep learning model.

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