The Elements Of Statistical Learning Data Mining,...

Main
Education Studies & Teaching
The Elements Of Statistical Learning...

The Elements Of Statistical Learning Data Mining, Inference, And Prediction

Hastie T, Et Al

0 / 0

Wie gefällt Ihnen dieses Buch?

Wie ist die Qualität der Datei?

Herunterladen Sie das Buch, um Ihre Qualität zu bewerten

Wie ist die Qualität der heruntergeladenen Dateien?

Kategorien:

Education Studies & Teaching

Jahr:

2001

Verlag:

Springer

Sprache:

english

Seiten:

532

Datei:

PDF, 171.23 MB

IPFS:

,

english, 2001

Herunterladen (pdf, 171.23 MB)

Die Konvertierung in ist im Gange

Die Konvertierung in ist fehlgeschlagen

Es kann für Sie interessant sein

Jrom HFridman — The elements of statistical learning Data mining, inference, and prediction

Hastie T, et al. — The elements of statistical learning data mining, inference, and prediction

Trevor Hastie, Jerome Friedman, Robert Tibshirani (auth.) — The Elements of Statistical Learning: Data Mining, Inference, and Prediction

罗广英 — 太极启示录：论中医理论天人合一的构造性和能量几何学（PDG）

Trevor Hastie, Robert Tibshirani, Jerome Friedman — The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

J. Friedman, T. Hastie, R. Tibshirani [proof] — The Elements of Statistical Learning

Simon N. Wood — Generalized Additive Models: An Introduction With R

Trevor Hastie, Robert Tibshirani, Jerome Friedman — The Elements of Statistical Learning: Data Mining, Inference, and Prediction.

Cosma Rohilla Shalizi — Advanced Data Analysis from an Elementary Point of View

Trevor Hastie, Robert Tibshirani, Jerome Friedman — The Elements of Statistical Learning : Data Mining, Inference and Prediction

Trevor Hastie, Robert Tibshirani, Jerome Friedman — The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd edition) (12print 2017)

Jerome Friedman, Trevor Hastie, Robert Tibshirani — The Elements of Statistical Learning

Trevor Hastie et al. — The elements of statistical learning Data mining, inference, and prediction

Jerome Friedman, Trevor Hastie, Robert Tibshirani — The Elements Of Statistical Learning, Data Mining Inference And Prediction

Jerome Friedman, Trevor Hastie, Robert Tibshirani — The Elements Of Statistical Learning, Data Mining Inference And Prediction

Trevor Hastie et al. — The elements of statistical learning - Data mining, inference, and prediction

J.Friedman, T.Hastie, R.Tibshirani — The Elements of Statistical Learning, Data Mining Inference and Prediction

Scarpa, Bruno, Azzalini, Adelchi;Bruno Scarpa — Data Analysis and Data Mining

Ethem Alpaydin — Introduction to Machine Learning

Ethem Alpaydin — Introduction to Machine Learning

Trevor Hastie, Robert Tibshirani, Jerome Friedman — The elements of statistical learning: Data mining, inference, and prediction

Trevor Hastie; Robert Tibshirani; Jerome Friedman — The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition

Trevor Hastie, Robert Tibshirani, Jerome Friedman — The Elements of Statistical Learning: Data Mining, Inference, and Prediction

T. Hastie, R. Tibshirani, J. H. Friedman — The Elements of Statistical Learning

Bertrand Clarke, Ernest Fokoue, Hao Helen Zhang (auth.) — Principles And Theory For Data Mining And Machine Learning

P.J. Green, Bernard. W. Silverman — Nonparametric Regression and Generalized Linear Models: A roughness penalty approach

T.J. Hastie, R.J. Tibshirani — Generalized Additive Models

Michael G. Schimek — Smoothing and Regression: Approaches, Computation, and Application

Hulin Wu, Jin-Ting Zhang — Nonparametric Regression Methods for Longitudinal Data Analysis: Mixed-Effects Modeling Approaches

David Ruppert, M. P. Wand, R. J. Carroll — Semiparametric regression

David Ruppert, M. P. Wand, R. J. Carroll — Semiparametric Regression

Paul H.C. Eilers, Brian D. Marx — Practical Smoothing: The Joys of P-splines

Ronald Christensen (auth.) — Advanced Linear Modeling: Multivariate, Time Series, and Spatial Data; Nonparametric Regression and Response Surface Maximization

Shannon Messenger — Untitled Shannon Messenger #3

Simon N. Wood — Generalized Additive Models: An Introduction With R

SAS Institute Inc. — Building Regression Models with SAS: A Guide for Data Scientists

Am meisten angefragte Begriffe