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The elements of statistical learning : data mining, inference, and prediction / Trevor Hastie, Robert Tibshirani, Jerome Friedman.
Materialtyp:
TextSpråk: Engelska Serie: Springer series in statisticsUtgivningsuppgift: New York : Springer, 2009Utgåva: 2. edBeskrivning: 745 s. illISBN: - 9780387848570
- Matematisk statistik
- Data mining
- Prediktion
- Artificiell intelligens
- Bioinformatik
- Prognoser
- Neuronnät (datorer)
- Statistisk inferens
- Statistisk metod
- Databehandling
- Supervised learning (Machine learning)
- Electronic data processing
- Inference
- Computational intelligence
- Statistics -- Methodology
- Text and data mining
- Data bases
- Statistical methods
- Statistics
- Nonparametric inference
- Artificial intelligence
- Bioinformatics
- Data processing
- Neural networks (Computer science)
- Data mining
- Prediction theory
- Statistics
- Mathematical statistics
- Mathematical statistics
- Probabilities
- Forecasting
- Graphical models
- grafiska modeller
- Generalized additive models
- Vectore machine
- Multivariate models
- Bootstrap procedures
- High-dimensional problems
- Mathematical statistics
- Artificial intelligence
- Matematisk statistik
- Artificiell intelligens
- Mathematical statistics
- Artificial intelligence
- Data mining
- Prediction theory
- supervised learning
- regression models
- linear discriminant analysis
- logistic regression
- Kernel methods
- model assessment
- neural networks
- support vector machines
- 519.5 22
- Q325.75 .H37 2009
- 62
- 62G
- 68T05
- 62-09
- 62H30
- 62J07
- Th
- Thi
- st
| Exemplartyp | Aktuellt bibliotek | Hyllsignatur | Status | Streckkod | |
|---|---|---|---|---|---|
Bok
|
Karlskoga Lasarettsbibliotek | WA 950 (Liknande titlar(Öppnas nedan)) | Tillgänglig | 26157009689 |
Corrected at 12th printing 2017
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