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|a 9780387848570
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|a EAP
|b gre
|e AACR2
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| 082 |
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0 |
|2 21
|a 006.31
|
| 100 |
1 |
0 |
|a Hastie, Trevor
|
| 245 |
1 |
4 |
|a The elements of statistical learning :
|b data mining, inference, and prediction /
|c Trevor Hastie, Robert Tibshirani, Jerome Friedman
|
| 250 |
1 |
4 |
|a 2η έκδ.
|
| 260 |
1 |
4 |
|a New York:
|b Springer,
|c 2009
|
| 300 |
1 |
4 |
|a xxi, 745 σ. :
|b διαγρ., πίν., σχήμ. ;
|c 24 εκ.
|
| 490 |
0 |
4 |
|a Springer series in statistics / Springer
|
| 504 |
0 |
4 |
|a Βιβλιογραφία: σ. [699]-727.
|
| 504 |
0 |
4 |
|a Περιλαμβάνει ευρετήρια.
|
| 650 |
1 |
0 |
|a Machine learning
|
| 650 |
1 |
0 |
|a Statistics
|x Methodology
|
| 650 |
1 |
0 |
|a Data mining
|
| 650 |
1 |
0 |
|a Bioinformatics
|
| 650 |
1 |
0 |
|a Inference
|
| 650 |
1 |
0 |
|a Forecasting
|
| 650 |
1 |
0 |
|a Computational Intelligence
|
| 650 |
1 |
7 |
|a Τεχνητή νοημοσύνη - Εφαρμογές
|x ΠΛΗ 31
|
| 650 |
1 |
7 |
|a Μαθηματικά για πληροφορική
|x ΠΛΗ 12
|
| 700 |
1 |
7 |
|a Tibshirani, Robert
|
| 710 |
1 |
7 |
|a Springer
|
| 952 |
|
|
|a GR-PaHOU
|b 59cc7d0a6c5ad13446fce446
|c 998a
|d 945l
|e 006.31 HAS
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| 952 |
|
|
|a CY-NiOUC
|b 5a0428a16c5ad14ac1e7e46a
|c 998a
|d 945l
|e Q325.75.H37 2009
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