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Traditional machine learning methods like Support Vector Machines, Random Forest, and gradient boosting have shown strong ...

Design is an iterative process of creating a structure and telling a story. The structure provides utility, while the story fosters connection. Although the design process is dynamic, I often find ...

Researchers often need to infer how the conditional mean of a response varies with the predictors. Sufficient dimension-reduction techniques reduce the dimension by identifying a minimal set of linear ...

With the aggressive scaling of semiconductor devices, the increasing complexity of device structure coupled with tighter metrology error budget has driven up Optical ...

Now that you have a solid foundation in Supervised Learning, we shift our attention to uncovering the hidden structure from unlabeled data. We will start with an introduction to Unsupervised Learning.