The elements of statistical learning: data mining, inference, and prediction
Author:
Publisher:
Springer
Publication Date:
[2009]
Edition:
2nd ed
Language:
English
Subjects
Subjects
Apprentissage supervisé (Intelligence artificielle)
Bio-informatique
Bioinformatics
Biologie
Biologie -- Informatique
Biology
Biology -- Data processing
Computational Biology
COMPUTERS
COMPUTERS -- Database Management -- Data Mining
Database Management
Data mining
Datamining
Data processing
Electronic data processing
Estatística
Estatística computacional
Exploration de données (Informatique)
Inferência estatística
Informatique
Machine-learning
Maschinelles Lernen
Mathematical Computing
Mathematics
Mathematics -- Data processing
Mathématiques
Mathématiques -- Informatique
Mineração de dados
Prognoses
statistics
Statistics as Topic
Statistik
Statistique
Statistiques
Supervised learning (Machine learning)
Bio-informatique
Bioinformatics
Biologie
Biologie -- Informatique
Biology
Biology -- Data processing
Computational Biology
COMPUTERS
COMPUTERS -- Database Management -- Data Mining
Database Management
Data mining
Datamining
Data processing
Electronic data processing
Estatística
Estatística computacional
Exploration de données (Informatique)
Inferência estatística
Informatique
Machine-learning
Maschinelles Lernen
Mathematical Computing
Mathematics
Mathematics -- Data processing
Mathématiques
Mathématiques -- Informatique
Mineração de dados
Prognoses
statistics
Statistics as Topic
Statistik
Statistique
Statistiques
Supervised learning (Machine learning)
Description
"During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics"--Jacket.
More Details
ISBN:
9780387848570
9780387848587
9781282126749
9780387848587
9781282126749
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Grouping Information
Grouped Work ID | 0ff0366d-7ae2-b59b-6239-3f073aa58465 |
---|---|
Grouping Title | elements of statistical learning data mining inference and prediction |
Grouping Author | trevor hastie |
Grouping Category | book |
Grouping Language | English (eng) |
Last Grouping Update | 2024-10-25 13:00:26PM |
Last Indexed | 2024-11-04 23:52:21PM |
Solr Fields
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0
accelerated_reader_reading_level
0
auth_author2
Friedman, J. H.
Tibshirani, Robert
Tibshirani, Robert
author
Hastie, Trevor
author2-role
Friedman, J. H.author
SpringerLink (Online service)
Tibshirani, Robert,author
SpringerLink (Online service)
Tibshirani, Robert,author
author_display
Hastie, Trevor
collection_adams
Main Collection
detailed_location_adams
ASU Main (3rd floor)
display_description
"During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics"--Jacket.
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9781282126749
9780387848587
9781282126749
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owning_library_adams
Adams State University
owning_location_adams
Adams State University
primary_isbn
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publishDate
2009
publisher
Springer
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grouped_work
series
Springer series in statistics
series_with_volume
Springer series in statistics|
subject_facet
Apprentissage supervisé (Intelligence artificielle)
Bio-informatique
Bioinformatics
Biologie -- Informatique
Biology -- Data processing
COMPUTERS -- Database Management -- Data Mining
Computational Biology
Computational biology
Data Mining
Data mining
Datamining
Electronic data processing
Estatística
Estatística computacional
Exploration de données (Informatique)
Inferência estatística
Machine-learning
Maschinelles Lernen
Mathematical Computing
Mathematics -- Data processing
Mathématiques -- Informatique
Mineração de dados
Prognoses
Statistics
Statistics as Topic
Statistik
Statistique
Statistiques
Supervised learning (Machine learning)
statistics
Bio-informatique
Bioinformatics
Biologie -- Informatique
Biology -- Data processing
COMPUTERS -- Database Management -- Data Mining
Computational Biology
Computational biology
Data Mining
Data mining
Datamining
Electronic data processing
Estatística
Estatística computacional
Exploration de données (Informatique)
Inferência estatística
Machine-learning
Maschinelles Lernen
Mathematical Computing
Mathematics -- Data processing
Mathématiques -- Informatique
Mineração de dados
Prognoses
Statistics
Statistics as Topic
Statistik
Statistique
Statistiques
Supervised learning (Machine learning)
statistics
title_display
The elements of statistical learning : data mining, inference, and prediction
title_full
The elements of statistical learning : data mining, inference, and prediction / Trevor Hastie, Robert Tibshirani, Jerome Friedman
title_short
The elements of statistical learning
title_sub
data mining, inference, and prediction
topic_facet
Apprentissage supervisé (Intelligence artificielle)
Bio-informatique
Bioinformatics
Biologie
Biology
COMPUTERS
Computational Biology
Computational biology
Data Mining
Data mining
Data processing
Database Management
Datamining
Electronic data processing
Estatística
Estatística computacional
Exploration de données (Informatique)
Inferência estatística
Informatique
Machine-learning
Maschinelles Lernen
Mathematical Computing
Mathematics
Mathématiques
Mineração de dados
Prognoses
Statistics
Statistics as Topic
Statistik
Statistique
Statistiques
Supervised learning (Machine learning)
statistics
Bio-informatique
Bioinformatics
Biologie
Biology
COMPUTERS
Computational Biology
Computational biology
Data Mining
Data mining
Data processing
Database Management
Datamining
Electronic data processing
Estatística
Estatística computacional
Exploration de données (Informatique)
Inferência estatística
Informatique
Machine-learning
Maschinelles Lernen
Mathematical Computing
Mathematics
Mathématiques
Mineração de dados
Prognoses
Statistics
Statistics as Topic
Statistik
Statistique
Statistiques
Supervised learning (Machine learning)
statistics
Solr Details Tables
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external_econtent:ils:.b29580626 | .i151308822 | CMU Electronic Access | Web Content | eBook | 1 | false | true | Springer Nature | http://ezproxy.coloradomesa.edu/login?url=https://link.springer.com/10.1007/978-0-387-84858-7 | Available Online | cueme |
record_details
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---|---|---|---|---|---|---|---|---|
ils:.b41452057 | Book | Books | 2nd ed | English | Springer | [2009] | xxii, 745 pages : illustrations (some color) ; 24 cm. | |
external_econtent:ils:.b29580626 | Web Content | eBook | Second edition, corrected 7th printing | English | Springer | [2009] | 1 online resource (xxii, 745 pages) : color illustrations. |
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