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OCoLC |
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220309s2021 xx 047 o vleng d |
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|a 10000MNLV2021104
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|a 10000MNLV2021104
|b O'Reilly Media
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|a 006.31
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|a UAMI
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|a Exploring the nuances of energy data in Python.
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250 |
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|a [First edition].
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264 |
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1 |
|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 (47 min.)) :
|b sound, color.
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|a 004700
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|a two-dimensional moving image
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|a Instructional films
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|a Aric LaBarr, presenter.
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|a Energy companies forecast energy demand for their customers using time series and forecasting models to drive business decisions and insights. One of the keys to forecasting well is exploring your data. Here, Aric LaBarr explores some energy data to discover all the nuances we need for forecasting!.
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|a Online resource; title from title details screen (O'Reilly, viewed March 9, 2022).
|
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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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|a Machine learning.
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650 |
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|a Python (Computer program language)
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650 |
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|a Apprentissage automatique.
|
650 |
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6 |
|a Python (Langage de programmation)
|
650 |
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7 |
|a Machine learning.
|2 fast
|0 (OCoLC)fst01004795
|
650 |
|
7 |
|a Python (Computer program language)
|2 fast
|0 (OCoLC)fst01084736
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655 |
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2 |
|a Webcast
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655 |
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|a Instructional films.
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|a Internet videos.
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|a Nonfiction films.
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655 |
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|a Instructional films.
|2 lcgft
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655 |
|
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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|a Films de formation.
|2 rvmgf
|
655 |
|
7 |
|a Films autres que de fiction.
|2 rvmgf
|
655 |
|
7 |
|a Vidéos sur Internet.
|2 rvmgf
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700 |
1 |
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|a LaBarr, Aric,
|e presenter.
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710 |
2 |
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|a Manning (Firm),
|e publisher.
|
856 |
4 |
0 |
|u https://learning.oreilly.com/videos/~/10000MNLV2021104/?ar
|z Texto completo (Requiere registro previo con correo institucional)
|
994 |
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|a 92
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|