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|a UAMI
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100 |
1 |
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|a Bari, Anasse,
|e author.
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245 |
1 |
0 |
|a Predictive analytics for dummies /
|c Anasse Bari, Mohamed Chaouchi, Tommy Jung.
|
250 |
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|a 2nd edition.
|
264 |
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1 |
|a [Place of publication not identified] :
|b John Wiley & Sons,
|c [2016]
|
300 |
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|a 1 online resource (1 volume) :
|b illustrations.
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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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|a online resource
|b cr
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490 |
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|a For dummies
|
588 |
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|a Description based on online resource; title from cover (Safari, viewed November 4, 2016).
|
500 |
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|a Date of publication from resource description page.
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505 |
0 |
0 |
|g Introduction. --
|g pt. 1.
|t Getting started with predictive analytics. Entering the arena ;
|t Predictive analytics in the wild ;
|t Exploring your data types and associated techniques ;
|t Complexities of data --
|g pt. 2.
|t Incorporating algorithms in your models. Applying models ;
|t Identifying similarities in data ;
|t Predicting the future using data classification --
|g pt. 3.
|t Developing a roadmap. Convincing your management to adopt predictive analytics ;
|t Preparing data ;
|t Building a predictive model ;
|t Visualization of analytical results --
|g pt. 4.
|t Programming predictive analytics. Creating basic prediction examples ;
|t Creating basic examples of unsupervised predictions ;
|t Predictive modeling with R ;
|t Avoiding analysis traps ; --
|g pt. 5.
|t Targeting big data
|t Getting ready for enterprise analytics
|g pt. 6
|t The part of tens.
|t Ten reasons to implement predictive analytics ;
|t Ten steps to build a predictive analytic model.
|
520 |
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|a Business today relies on effectively using data to predict trends and sales. Predictive analytics is the tool that can make it happen, and this book eliminates the tricks and shows you how to use it. You'll learn to prepare and process your data, create goals, build a predictive model, get your organization's stakeholders on board and more.
|
590 |
|
|
|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
|
650 |
|
0 |
|a Management
|x Data processing.
|
650 |
|
0 |
|a Management
|x Mathematical models.
|
650 |
|
0 |
|a Data mining.
|
650 |
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2 |
|a Data Mining
|
650 |
|
6 |
|a Gestion
|x Informatique.
|
650 |
|
6 |
|a Gestion
|x Modèles mathématiques.
|
650 |
|
6 |
|a Exploration de données (Informatique)
|
650 |
|
7 |
|a Data mining.
|2 fast
|0 (OCoLC)fst00887946
|
650 |
|
7 |
|a Management
|x Data processing.
|2 fast
|0 (OCoLC)fst01007162
|
650 |
|
7 |
|a Management
|x Mathematical models.
|2 fast
|0 (OCoLC)fst01007201
|
700 |
1 |
|
|a Chaouchi, Mohamed,
|e author.
|
700 |
1 |
|
|a Jung, Tommy,
|e author.
|
776 |
0 |
8 |
|i Print version:
|z 9781119267003
|
830 |
|
0 |
|a --For dummies.
|
856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781119267003/?ar
|z Texto completo (Requiere registro previo con correo institucional)
|
938 |
|
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|a YBP Library Services
|b YANK
|n 13186411
|
938 |
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|a YBP Library Services
|b YANK
|n 13175599
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