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Recent years have brought rapid growth in the amount and complexity of data collected in biostatistical applications. This course will introduce modern methods of high-dimensional data analysis. Specific topics include penalized regression methods, model assessment and selection, model inference and averaging, boosting, neural networks, support vector machines, and unsupervised clustering.
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