About: An Introduction to Statistical Learning

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rdf:type	Item
description	textbook (en) ouvrage (fr) uitgave van Trevor Hastie (nl)
publication date	wds:Q21473973-5bc3e305-4b90-612f-6403-f7957c6389b4
publication date	2013-01-01 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q21473973-B970F9E7-E46D-4F11-B971-18E1BA56AB92
language of work or name	English
Goodreads version/edition ID	wds:Q21473973-06D5EEDA-F888-4947-83CA-D662E03AC18C wds:Q21473973-8631D6C5-9855-4494-8A8A-25F43F0A8AAB
Goodreads version/edition ID	18925719 17397466
OpenCitations bibliographic resource ID	wds:Q21473973-2C7AC93C-0728-431A-BADB-1F080C76A27E
OpenCitations bibliographic resource ID	https://w3id.org/oc/corpus/br/58929
OpenCitations bibliographic resource ID	58929
rdfs:label	An Introduction to Statistical Learning (en) An Introduction to Statistical Learning (fr) An Introduction to Statistical Learning (ga)
skos:prefLabel	An Introduction to Statistical Learning (en) An Introduction to Statistical Learning (fr) An Introduction to Statistical Learning (ga)
name	An Introduction to Statistical Learning (en) An Introduction to Statistical Learning (fr) An Introduction to Statistical Learning (ga)
author	wds:Q21473973-1bf1fdea-4ecc-7ab0-642a-6213ee26a715 wds:Q21473973-93e9fa93-4339-db38-2aaf-2cce4e5aa445 wds:Q21473973-9577c51e-49ba-fa92-fef8-43ed029907a2 wds:Q21473973-d7fc0753-4aad-8a55-d6d3-829471a1dbf5
author	Robert Tibshirani Daniela Witten Gareth James Trevor Hastie
title	wds:Q21473973-64482b62-46ed-a874-6b6e-e7722869dbff
title	An Introduction to Statistical Learning (en)
instance of	wds:Q21473973-87fab97e-4b9c-6973-5682-85516dc4b4d8
instance of	version, edition or translation
main subject	wds:Q21473973-a78c009d-44d4-6c23-a7d7-457bceeb5716
main subject	machine learning
publisher	wds:Q21473973-8993cad5-4dcc-43a1-f390-c932fda15b2c
published in	wds:Q21473973-385ACAFD-542C-4442-960E-291297E308D3
subtitle	wds:Q21473973-b7ea96c3-470b-3ad1-5766-6ae75b96f3ae
publisher	Springer Science+Business Media
published in	Springer Texts in Statistics
subtitle	with Applications in R (en)
DOI	wds:Q21473973-9df852e9-444e-7143-33a8-fe1a4eec4b23
DOI	http://dx.doi.org/10.1007/978-1-4614-7138-7
DOI	10.1007/978-1-4614-7138-7
skos:altLabel	ISLR (fr)
genre	wds:Q21473973-d841fd23-40e3-030b-35f6-5c375205ceab
maintained by WikiProject	wds:Q21473973-B37D7217-0FF4-4D57-9B8A-8AB6D6B8A78B
Open Library ID	wds:Q21473973-AF13B1D4-9F8A-4E2E-97B5-861AD119A6EF
Open Library ID	http://openlibrary.org/works/OL26184759M
genre	reference work
maintained by WikiProject	WikiProject Mathematics
Open Library ID	OL26184759M
part of the series	wds:Q21473973-391d797c-48c7-7e29-7ebc-2dee7c059c01
part of the series	Springer Texts in Statistics
Goodreads work ID	wds:Q21473973-b5bb7966-554f-4078-b1a3-72e962ac803c
Goodreads work ID	24219959
zbMATH Open document ID	wds:Q21473973-D9EF8FE8-F43F-410E-8909-291632D2403B
zbMATH Open document ID	1281.62147
ISBN-13	wds:Q21473973-6149a5df-4daf-e19e-b6cc-01ec2acee06d wds:Q21473973-dea63f83-414b-3f4e-881e-26b69bf28e8d
ISBN-13	urn:ISBN:978-1-4614-7137-0 urn:ISBN:978-1-4614-7138-7
ISBN-13	978-1-4614-7137-0 978-1-4614-7138-7
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q21473973
is cites work of	Realizing the potential of mobile mental health: new methods for new data in psychiatry Inference of transcriptional regulation in cancers Using clinical data to predict high-cost performance coding issues associated with pressure ulcers: a multilevel cohort model Batch effect confounding leads to strong bias in performance estimates obtained by cross-validation Methods for the integration of multi-omics data: mathematical aspects Air quality modeling in the Oviedo urban area (NW Spain) by using multivariate adaptive regression splines Integrated Modeling of Gene Regulatory and Metabolic Networks in Mycobacterium tuberculosis Patterns of crop cover under future climates. Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders Predicting haplotype carriers from SNP genotypes in Bos taurus through linear discriminant analysis The basis function approach for modeling autocorrelation in ecological data Reshaping the epigenetic landscape during early flower development: induction of attractor transitions by relative differences in gene decay rates. Towards Quantitative Spatial Models of Seabed Sediment Composition A systematic evaluation of high-dimensional, ensemble-based regression for exploring large model spaces in microbiome analyses Testing a machine-learning algorithm to predict the persistence and severity of major depressive disorder from baseline self-reports. Probing the origins of human acetylcholinesterase inhibition via QSAR modeling and molecular docking Penalized variable selection in competing risks regression Genome-wide identification and characterization of small RNAs in Rhodobacter capsulatus and identification of small RNAs affected by loss of the response regulator CtrA. Factors Associated With Weight Change in Online Weight Management Communities: A Case Study in the LoseIt Reddit Community Multimodal imaging patterns predict survival in recurrent glioblastoma patients treated with bevacizumab. Models of Eucalypt phenology predict bat population flux Diagnostic classification of unipolar depression based on resting-state functional connectivity MRI: effects of generalization to a diverse sample Sex Differences in Serum Markers of Major Depressive Disorder in the Netherlands Study of Depression and Anxiety (NESDA). Sex dependent risk factors for mortality after myocardial infarction: individual patient data meta-analysis Multidimensional Analysis Integrating Human T-Cell Signatures in Lymphatic Tissues with Sex of Humanized Mice for Prediction of Responses after Dendritic Cell Immunization. Targeted use of growth mixture modeling: a learning perspective Comparison of variance estimators for meta-analysis of instrumental variable estimates Using patient self-reports to study heterogeneity of treatment effects in major depressive disorder The Gulf of Aden Intermediate Water Intrusion Regulates the Southern Red Sea Summer Phytoplankton Blooms The importance of prediction model validation and assessment in obesity and nutrition research. Accuracy and Calibration of Computational Approaches for Inpatient Mortality Predictive Modeling Statistically reinforced machine learning for nonlinear patterns and variable interactions

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