Robert Tibshirani is a prominent statistician and professor known for his contributions to statistical learning and data science, particularly in the development of regularization techniques like Lasso and Ridge regression. His work has significantly influenced how complex models are built and interpreted in the context of high-dimensional data, making it easier for researchers to avoid overfitting and improve model accuracy.
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