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01437nam a22004094c 4500 |
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AR-RfUN |
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20230509142600.0 |
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180921s2013 ag ||||| |||||||| ||spa d |
020 |
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|a 9781449361327
|
040 |
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|a AR-RfUN
|b spa
|c AR-RfUN
|e rda
|
100 |
1 |
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|9 3739
|a Provost, Foster
|e autor
|
245 |
1 |
|
|a Data Science for Business
|
264 |
|
1 |
|a Sebastopol
|b O`Reilly
|c 2013
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a unmediated
|b n
|2 rdamedia
|
338 |
|
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|a volume
|b nc
|2 rdacarrier
|
505 |
0 |
|
|a Introduction: Data-Analytic Thinking
|
505 |
0 |
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|a Business Problems and Data Science Solutions
|
505 |
0 |
|
|a Introduction to Predictive Modeling: From Correlation to Supervised Segmentation
|
505 |
0 |
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|a Fitting a Model to Data
|
505 |
0 |
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|a Overfitting and Its Avoidance
|
505 |
0 |
|
|a Similarity, Neighbors, and Clusters
|
505 |
0 |
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|a Decision Analytic Thinking I: Was Is a Good Model?
|
505 |
0 |
|
|a Visualizing Model Performance
|
505 |
0 |
|
|a Evidence and Probabilities
|
505 |
0 |
|
|a Representing and Mining Text
|
505 |
0 |
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|a Decision Analytic Thinking II: Toward Analytical Engineering
|
505 |
0 |
|
|a Other Data Science Tasks and Techniques
|
505 |
0 |
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|a Data Science and Business Starategy
|
650 |
1 |
4 |
|a administracion de empresas
|9 119
|
650 |
1 |
7 |
|2 spines
|a gestión de datos
|9 3740
|
650 |
1 |
4 |
|a negocios
|9 360
|
692 |
|
|
|a MBA
|
700 |
1 |
|
|9 3741
|a Fawcett, Tom
|e autor
|
942 |
|
|
|2 ddc
|n 0
|
999 |
|
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|c 1122
|d 1122
|