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OR_on1019734356 |
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OCoLC |
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20231017213018.0 |
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180116s2017 xx o 000 0 eng |
040 |
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|a UIU
|b eng
|e pn
|c UIU
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|a 1202561113
|a 1240508740
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|a 9785386359126
|q (e-book)
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|a 5386359126
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1 |
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|a [E]
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049 |
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|a UAMI
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100 |
1 |
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|a Ransbotham, Sam,
|e author.
|
245 |
1 |
4 |
|a The Subtle Sources of Sampling Bias Hiding in Your Data /
|c Ransbotham, Sam.
|
250 |
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|a 1st edition
|
264 |
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1 |
|b MIT Sloan Management Review,
|c 2017.
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300 |
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|a 1 online resource (3 pages)
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336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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338 |
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|a online resource
|b cr
|2 rdacarrier
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520 |
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|a Plummeting data acquisition costs have been a big part of the surge in business analytics. We have much richer samples of data to use for insight. But more data doesn't inherently remove sampling bias; in fact, it may make it worse.
|
590 |
|
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
|
650 |
|
0 |
|a Data mining.
|
650 |
|
6 |
|a Exploration de données (Informatique)
|
650 |
|
7 |
|a Data mining
|2 fast
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856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/53863MIT59126/?ar
|z Texto completo (Requiere registro previo con correo institucional)
|
994 |
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|a 92
|b IZTAP
|