Abstract:
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In this introductory lecture I will discuss modern statistical and machine learning tools for the analysis of large datasets. Methods discussed will include sparsity-based approaches (Lasso and friends), random forests, boosting and deep learning, and I will show examples in medicine and other areas of science.
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