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Linear methods for classification
logistic regression, naive Bayes and LDA
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NN for PDEs
neural networks for direct and inverse pde problems
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R-squared and model performance evaluation
on the good usage of performance metrics
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SUMO
practical implementation of surrogate models on YOUR data
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a real-time DT
use of sockets for signal acquisition from instruments