SpringNuance / Large-Scale-Data-Analysis Public

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This course covers statistical learning methods of large scale data analysis, multiple hypothesis testing and false discovery rate control for large scale and distributed data, exploiting sparsity in large scale data analysis, tensor-based methods for analysis data with multiple atributes. Sequential decision making and change-point detection

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
Assignment 1		Assignment 1
Assignment 2		Assignment 2
Assignment 3		Assignment 3
Lectures		Lectures
README.md		README.md
Statistical Learning with Sparsity the Lasso and Generalizations.pdf		Statistical Learning with Sparsity the Lasso and Generalizations.pdf
The elements of statistical learning Data Mining, Inference, and Prediction.pdf		The elements of statistical learning Data Mining, Inference, and Prediction.pdf