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| STA |
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|a EIZ
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|c EBSCO trvale nakupy
|d 2023-03-21
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| 020 |
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|a 978-0-387-84858-7
|q (electronic bk.)
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|a 9781282126749
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|a (OCoLC)405547558
|z (OCoLC)233933446
|z (OCoLC)352542361
|z (OCoLC)370601270
|z (OCoLC)427408703
|z (OCoLC)502388837
|z (OCoLC)559000216
|z (OCoLC)647699775
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|z (OCoLC)771409608
|z (OCoLC)880316078
|z (OCoLC)970655334
|z (OCoLC)993904158
|z (OCoLC)1002151284
|z (OCoLC)1038393800
|z (OCoLC)1043311074
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|a GW5XE
|b cze
|e rda
|c GW5XE
|d HNK
|d CDX
|d N$T
|d EBLCP
|d E7B
|d IDEBK
|d OCLCQ
|d MERUC
|d BTCTA
|d BAKER
|d AUD
|d HUA
|d DKDLA
|d OCLCQ
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|d NLGGC
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| 072 |
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7 |
|a 311
|x Statistika
|2 Konspekt
|9 4
|
| 080 |
|
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|a 57/59:004
|2 MRF
|
| 080 |
|
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|a 575.112
|2 MRF
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| 080 |
|
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|a 311
|2 MRF
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| 080 |
|
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|a 519.25
|2 MRF
|
| 100 |
1 |
|
|a Hastie, Trevor,
|d 1953-
|7 xx0032545
|4 aut
|
| 245 |
1 |
4 |
|a The elements of statistical learning :
|b data mining, inference, and prediction /
|c Trevor Hastie, Robert Tibshirani, Jerome Friedman
|
| 250 |
|
|
|a Second edition
|
| 264 |
|
1 |
|a New York :
|b Springer,
|c [2009]
|
| 264 |
|
4 |
|c ©2009
|
| 300 |
|
|
|a 1 online zdroj (xxii, 745 stran) :
|b ilustrace
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a počítač
|b c
|2 rdamedia
|
| 338 |
|
|
|a online zdroj
|b cr
|2 rdacarrier
|
| 490 |
1 |
|
|a Springer series in statistics,
|x 0172-7397
|
| 505 |
0 |
0 |
|g 1.
|t Introduction --
|g 2.
|t Overview of supervised learning --
|g 3.
|t Linear methods for regression --
|g 4.
|t Linear methods for classification --
|g 5.
|t Basis expansions and regularization --
|g 6.
|t Kernel smoothing methods --
|g 7.
|t Model assessment and selection --
|g 8.
|t Model inference and averaging --
|g 9.
|t Additive models, trees, and related methods --
|g 10.
|t Boosting and additive trees --
|g 11.
|t Neural networks --
|g 12.
|t Support vector machines and flexible discriminants --
|g 13.
|t Prototype methods and nearest-neighbors --
|g 14.
|t Unsupervised learning --
|g 15.
|t Random forests --
|g 16.
|t Ensemble learning --
|g 17.
|t Undirected graphical models --
|g 18.
|t High-dimensional problems: p>> N.
|
| 533 |
|
|
|a Elektronická reprodukce.
|n Přístup pouze pro oprávněné uživatele
|
| 650 |
0 |
7 |
|a počítačová biologie
|7 ph309636
|2 czenas
|
| 650 |
0 |
7 |
|a bioinformatika
|7 ph194800
|2 czenas
|
| 650 |
0 |
7 |
|a statistika
|7 ph116273
|2 czenas
|
| 650 |
0 |
7 |
|a data mining
|2 czmesh
|
| 650 |
0 |
7 |
|a matematické výpočty počítačové
|2 czmesh
|
| 650 |
0 |
9 |
|a computational biology
|2 eczenas
|
| 650 |
0 |
9 |
|a bioinformatics
|2 eczenas
|
| 650 |
0 |
9 |
|a statistics
|2 eczenas
|
| 650 |
0 |
2 |
|a Data Mining
|
| 650 |
0 |
2 |
|a Mathematical Computing
|
| 655 |
|
7 |
|a e-knihy online
|2 CZ-BrMU
|
| 655 |
|
9 |
|a e-books online
|2 eCZ-BrMU
|
| 700 |
1 |
|
|a Tibshirani, Robert,
|d 1956-
|7 xx0032546
|4 aut
|
| 700 |
1 |
|
|a Friedman, J. H.
|q (Jerome H.),
|d 1939-
|7 xx0032547
|4 aut
|
| 776 |
0 |
8 |
|i Tištěná verze:
|t Elements of statistical learning.
|z 978-0-387-84857-0
|z 9780387848846
|
| 830 |
|
0 |
|a Springer series in statistics,
|x 0172-7397
|
| 856 |
4 |
1 |
|z Elektronická verze přístupná pouze pro studenty a pracovníky MU
|u https://ezproxy.muni.cz/login?url=https://search.ebscohost.com/login.aspx?authtype=ip&custid=s8431878&lang=cs&profile=eds&direct=true&db=nlebk&AN=277008
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