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Statistical Learning with Sparsity: The Lasso and Generalizations (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
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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
| #337084 in Books | CRC Press | 2015-05-07 | Original language:English | PDF # 1 | 9.30 x.90 x6.10l,.0 | File type: PDF | 367 pages | CRC Press||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 8 people found the following review helpful.| Bet on sparsity approach in Machine Learning.|By Vladislavs Dovgalecs|This book is about bet on sparsity. In Machine Learning, there are plenty of approaches that might work on da|||"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. Which are the reasons I like to read books. Great story by a great author.