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NVIDIA RAPIDS and Open Source ML Acceleration with Chris Deotte and Jean-Francois Puget

Software Engineering Daily

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Accelerating Feature Engineering with RAPIDS

This chapter explores the RAPIDS library's capabilities in feature engineering, emphasizing its efficiency in data frame transformations. It covers techniques like target encoding and shares insights from a real-world Kaggle competition to illustrate the practical applications of these methods.

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