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01931nam a2200337Ia 4500 |
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20241030105030.0 |
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150828s2014 nyua b 001 0 eng d |
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|a 9781617291562 (pbk. : acid-free paper)
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|a 1617291560 (pbk. : acid-free paper)
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|a (OCoLC)000064553
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|a (udesa)000064553USA01
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|a (OCoLC)919316936
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|a (OCoLC)990000645530204151
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|a U@S
|b spa
|c U@S
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|a U@SA
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|a QA276.45.R3
|b Z86 2014
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1 |
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|a Zumel, Nina.
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|a Practical data science with R /
|c Nina Zumel, John Mount.
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| 260 |
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|a Shelter Island, NY :
|b Manning,
|c c2014.
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| 300 |
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|a xxv, 389 p. :
|b il. ;
|c 24 cm.
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| 504 |
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|a Incluye referencias bibliográficas (p. 375-376) e índice.
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| 505 |
0 |
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|a Part 1. Introduction to data science: The data science process -- Loading data into R -- Exploring data -- Managing data -- Part 2. Modelling methods: Choosing and evaluating models -- Memorization methods -- Linear and logistic regression -- Unsupervised methods -- Exploring advanced methods -- Part 3. Delivering results: Documentation and deployment -- Producing effective presentations.
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| 520 |
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|a "It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. You'll apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support." --Descripción del editor.
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| 650 |
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0 |
|a R (Computer program language)
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| 650 |
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0 |
|a Mathematical statistics
|x Data processing.
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| 650 |
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0 |
|a Data mining.
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| 650 |
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7 |
|a R (Lenguaje de programación (Computadoras))
|2 UDESA
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| 650 |
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7 |
|a Estadística matemática
|x Procesamiento de datos.
|2 UDESA
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| 650 |
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7 |
|a Minería de datos.
|2 UDESA
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| 700 |
1 |
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|a Mount, John.
|