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Feature Engineering at Scale: Optimizing ML Models in Semiconductor Manufacturing with NVIDIA CUDA‑X Data Science

In our previous post, we introduced the setup of predictive modeling in chip manufacturing and operations, highlighting common challenges such as imbalanced…

In our previous post, we introduced the setup of predictive modeling in chip manufacturing and operations, highlighting common challenges such as imbalanced datasets and the need for more nuanced evaluation metrics. We also explored how NVIDIA CUDA-X data science libraries—like cuDF and cuML—can help overcome these challenges and accelerate machine learning workflows.In this blog…

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