[PDF.40hs] Statistical Learning with Sparsity: The Lasso and Generalizations (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
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Statistical Learning with Sparsity: The Lasso and Generalizations (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
Trevor Hastie, Robert Tibshirani, Martin Wainwright
[PDF.ng49] Statistical Learning with Sparsity: The Lasso and Generalizations (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
Statistical Learning with Sparsity: Trevor Hastie, Robert Tibshirani, Martin Wainwright epub Statistical Learning with Sparsity: Trevor Hastie, Robert Tibshirani, Martin Wainwright pdf download Statistical Learning with Sparsity: Trevor Hastie, Robert Tibshirani, Martin Wainwright pdf file Statistical Learning with Sparsity: Trevor Hastie, Robert Tibshirani, Martin Wainwright audiobook Statistical Learning with Sparsity: Trevor Hastie, Robert Tibshirani, Martin Wainwright book review Statistical Learning with Sparsity: Trevor Hastie, Robert Tibshirani, Martin Wainwright summary
| #1049104 in eBooks | 2015-05-07 | 2015-05-07 | File type: PDF||1 of 2 people found the following review helpful.| Excellent!|By boolpp|Very helpful!! Exactly what I need, how I wish I could have found it earlier.|6 of 7 people found the following review helpful.| Another winner!|By Dan D. Gutierrez|Hastie and Tibshirani are machine learning superstars and I believe this new resource will play an important role in statistical learning just|||"The authors study and analyze methods using the sparsity property of some statistical models in order to recover the underlying signal in a dataset. They focus on the Lasso technique as an alternative to the standard least-squares method."|―Zentralblatt
Discover New Methods for Dealing with High-Dimensional Data
A sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret than a dense model. Statistical Learning with Sparsity: The Lasso and Generalizations presents methods that exploit sparsity to help recover the underlying signal in a set of data.
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You can specify the type of files you want, for your device.Statistical Learning with Sparsity: The Lasso and Generalizations (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) | Trevor Hastie, Robert Tibshirani, Martin Wainwright. I was recommended this book by a dear friend of mine.
