Practical example from the SPIE short course "Data Analytics and Machine Learning in Semiconductor Manufacturing: Applications for Physical Design, Process and Yield Optimization"
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Practical example from the SPIE short course "Data Analytics and Machine Learning in Semiconductor Manufacturing: Applications for Physical Design, Process and Yield Optimization" by Luigi Capodieci and Jason Cain.
See more information about the class at SPIE.
The primary content of this repository is 'Defect Prediction Example.ipynb', a Jupyter notebook. See that file for more information.
Practical example from the SPIE short course "Data Analytics and Machine Learning in Semiconductor Manufacturing: Applications for Physical Design, Process and Yield Optimization"