|
|
|
|
LEADER |
00000cam a2200000Ia 4500 |
001 |
OR_ocn805417849 |
003 |
OCoLC |
005 |
20231017213018.0 |
006 |
m o d |
007 |
cr unu|||||||| |
008 |
120808s2012 caua o 000 0 eng d |
040 |
|
|
|a UMI
|b eng
|e pn
|c UMI
|d COO
|d CUS
|d OCLCQ
|d DEBSZ
|d TEFOD
|d S4S
|d OCLCF
|d OCLCQ
|d TEFOD
|d OCLCQ
|d EBLCP
|d FEM
|d OCLCQ
|d OCLCA
|d CEF
|d WYU
|d UAB
|d OCLCQ
|d OCLCO
|d OCLCQ
|
019 |
|
|
|a 877085395
|a 968091151
|a 969057851
|
020 |
|
|
|a 9781449333706
|q (electronic bk.)
|
020 |
|
|
|a 1449333702
|q (electronic bk.)
|
020 |
|
|
|a 9781449333683
|q (electronic bk.)
|
020 |
|
|
|a 1449333680
|q (electronic bk.)
|
020 |
|
|
|z 9781449334659
|
020 |
|
|
|z 1449334652
|
024 |
3 |
|
|a 9781449333706
|
029 |
1 |
|
|a AU@
|b 000050012865
|
029 |
1 |
|
|a DEBBG
|b BV040901746
|
029 |
1 |
|
|a DEBSZ
|b 378291181
|
029 |
1 |
|
|a DEBSZ
|b 381377881
|
029 |
1 |
|
|a GBVCP
|b 785441239
|
035 |
|
|
|a (OCoLC)805417849
|z (OCoLC)877085395
|z (OCoLC)968091151
|z (OCoLC)969057851
|
037 |
|
|
|a CL0500000157
|b Safari Books Online
|
037 |
|
|
|a 81A70E23-925A-4366-8FD8-5250CB8F6B79
|b OverDrive, Inc.
|n http://www.overdrive.com
|
050 |
|
4 |
|a QA402.5
|
082 |
0 |
4 |
|a 519.7
|2 23
|
049 |
|
|
|a UAMI
|
100 |
1 |
|
|a Howard, Jeremy,
|e author.
|
245 |
1 |
0 |
|a Designing great data products /
|c Jeremy Howard, Margit Zwemer, and Mike Loukides.
|
260 |
|
|
|a Sebastopol, CA :
|b O'Reilly Media,
|c [2012]
|
300 |
|
|
|a 1 online resource :
|b illustrations
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a computer
|b c
|2 rdamedia
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
347 |
|
|
|a text file
|2 rda
|
588 |
0 |
|
|a Online resource; title from title screen (Safari, viewed Oct. 4, 2012).
|
520 |
8 |
|
|a Annotation
|b In the past few years, weve seen many data products based on predictive modeling. These products range from weather forecasting to recommendation engines like Amazon's. Prediction technology can be interesting and mathematically elegant, but we need to take the next step: going from recommendations to products that can produce optimal strategies for meeting concrete business objectives. We already know how to build these products: they've been in use for the past decade or so, but they're not as common as they should be. This report shows how to take the next step: to go from simple predictions and recommendations to a new generation of data products with the potential to revolutionize entire industries.
|
590 |
|
|
|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
|
650 |
|
0 |
|a Programming (Mathematics)
|
650 |
|
0 |
|a Online algorithms.
|
650 |
|
0 |
|a Business forecasting.
|
650 |
|
6 |
|a Programmation (Mathématiques)
|
650 |
|
6 |
|a Algorithmes en ligne.
|
650 |
|
6 |
|a Prévision commerciale.
|
650 |
1 |
7 |
|a Programming (Mathematics)
|2 bisacsh
|
650 |
|
7 |
|a Business forecasting.
|2 fast
|0 (OCoLC)fst00842699
|
650 |
|
7 |
|a Online algorithms.
|2 fast
|0 (OCoLC)fst01045924
|
650 |
|
7 |
|a Programming (Mathematics)
|2 fast
|0 (OCoLC)fst01078701
|
700 |
1 |
|
|a Zwemer, Margit,
|e author.
|
700 |
1 |
|
|a Loukides, Michael Kosta,
|e author.
|
856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781449334659/?ar
|z Texto completo (Requiere registro previo con correo institucional)
|
938 |
|
|
|a ProQuest Ebook Central
|b EBLB
|n EBL879956
|
994 |
|
|
|a 92
|b IZTAP
|