The elements of statistical learning: data mining, inference, and prediction

Book Cover
Publisher:
Springer
Pub. Date:
[2009]
Edition:
2nd ed
Language:
English
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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Grouping Information

Grouped Work ID0ff0366d-7ae2-b59b-6239-3f073aa58465
Grouping Titleelements of statistical learning data mining inference and prediction
Grouping Authortrevor hastie
Grouping Categorybook
Grouping LanguageEnglish (eng)
Last Grouping Update2024-04-05 08:44:22AM
Last Indexed2024-04-18 23:30:36PM

Solr Fields

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accelerated_reader_reading_level
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auth_author2
Friedman, J. H.
Tibshirani, Robert
author
Hastie, Trevor
author2-role
Friedman, J. H.author
SpringerLink (Online Service)
Tibshirani, Robert,author
author_display
Hastie, Trevor
collection_adams
Main Collection
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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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Book
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Books
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0ff0366d-7ae2-b59b-6239-3f073aa58465
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9780387848570
9780387848587
9781282126749
itype_adams
Book
last_indexed
2024-04-19T05:30:36.177Z
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literary_form
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literary_form_full
Non Fiction
local_callnumber_adams
Q325.75 .H37 2009
owning_library_adams
Adams State University
owning_location_adams
Adams State University
primary_isbn
9780387848570
publishDate
2009
publisher
Springer
recordtype
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
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

Solr Details Tables

item_details

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ils:.b41452057.i82248382ASU Main (3rd floor)Q325.75 .H37 20091falsefalseIn TransitAug 03, 2021as
external_econtent:ils:.b29580626.i151308822CMU Electronic AccessWeb ContenteBook1falsetrueSpringerLinkhttp://ezproxy.coloradomesa.edu/login?url=https://link.springer.com/10.1007/978-0-387-84858-7Available Onlinecueme

record_details

Bib IdFormatFormat CategoryEditionLanguagePublisherPublication DatePhysical DescriptionAbridged
ils:.b41452057BookBooks2nd edEnglishSpringer[2009]xxii, 745 pages : illustrations (some color) ; 24 cm.
external_econtent:ils:.b29580626Web ContenteBookSecond edition, corrected 7th printingEnglishSpringer[2009]1 online resource (xxii, 745 pages) : color illustrations

scoping_details_adams

Bib IdItem IdGrouped StatusStatusLocally OwnedAvailableHoldableBookableIn Library Use OnlyLibrary OwnedHoldable PTypesBookable PTypesLocal Url
ils:.b41452057.i82248382Checked OutIn Transitfalsefalsetruefalsefalsetrue56, 57, 58, 59