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Statistical Learning with Sparsity

- The Lasso and Generalizations

af Trevor Hastie

indgår i Chapman & Hall/CRC Monographs on Statistics and Applied Probability serien

Statistical Learning with Sparsity af Trevor Hastie
Bag om Statistical Learning with Sparsity

In this age of big data, the number of features measured on a person or object can be large and might be larger than the number of observations. This book shows how the sparsity assumption allows us to tackle these problems and extract useful and reproducible patterns from big datasets. The authors cover the lasso for linear regression, generali

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9780367738334
  • Indbinding:
  • Paperback
  • Sideantal:
  • 368
  • Udgivet:
  • 18. December 2020
  • Størrelse:
  • 234x156x23 mm.
  • Vægt:
  • 618 g.
  • 2-3 uger.
  • 9. Oktober 2024
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In this age of big data, the number of features measured on a person or object can be large and might be larger than the number of observations. This book shows how the sparsity assumption allows us to tackle these problems and extract useful and reproducible patterns from big datasets. The authors cover the lasso for linear regression, generali

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