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OR_on1297841489 |
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OCoLC |
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20231017213018.0 |
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220217s2021 xx 030 o vleng d |
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|a ORMDA
|b eng
|e rda
|e pn
|c ORMDA
|d OCLCO
|d OCLCF
|d OCLCO
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|a (OCoLC)1297841489
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|a 10000MNHV202208
|b O'Reilly Media
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|a QA76.73.P98
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|a 005.133
|2 23
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|a UAMI
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|a Enhancing business intelligence with PyMC3.
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|a [First edition].
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|a [Place of publication not identified] :
|b Manning Publications,
|c 2021.
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300 |
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|a 1 online resource (1 video file (30 min.)) :
|b sound, color.
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|a 003000
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|a two-dimensional moving image
|b tdi
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
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|a digital
|2 rdatr
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|a video file
|2 rdaft
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|a Instructional films
|2 lcgft
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|a Michael Grogan, presenter.
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|a Michael Grogan is a data scientist with expertise in TensorFlow and time series analysis. He will teach you how to use PyMC3 to generate a posterior distribution of hotel cancellations. This will allow you to build a predictive model that can update its predicted probabilities by incorporating new information.
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|a Online resource; title from title details screen (O'Reilly, viewed February 17, 2022).
|
590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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650 |
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0 |
|a Python (Computer program language)
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650 |
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|a Data mining
|x Statistical methods.
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650 |
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6 |
|a Python (Langage de programmation)
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650 |
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|a Data mining
|x Statistical methods.
|2 fast
|0 (OCoLC)fst02007323
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650 |
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7 |
|a Python (Computer program language)
|2 fast
|0 (OCoLC)fst01084736
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2 |
|a Webcast
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655 |
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7 |
|a Instructional films.
|2 fast
|0 (OCoLC)fst01726236
|
655 |
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7 |
|a Internet videos.
|2 fast
|0 (OCoLC)fst01750214
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7 |
|a Nonfiction films.
|2 fast
|0 (OCoLC)fst01710269
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7 |
|a Instructional films.
|2 lcgft
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7 |
|a Nonfiction films.
|2 lcgft
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655 |
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7 |
|a Internet videos.
|2 lcgft
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655 |
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7 |
|a Films de formation.
|2 rvmgf
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655 |
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|a Films autres que de fiction.
|2 rvmgf
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655 |
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|a Vidéos sur Internet.
|2 rvmgf
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|a Grogan, Michael,
|e presenter.
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2 |
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|a Manning (Firm),
|e publisher.
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856 |
4 |
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|u https://learning.oreilly.com/videos/~/10000MNHV202208/?ar
|z Texto completo (Requiere registro previo con correo institucional)
|
994 |
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|a 92
|b IZTAP
|