Ordenar por: Autor | Título | Año |
| 23 | 9781119536949 | Libro |
Probability with R : an introduction with computer science applications / by Jane M. Horgan.
Horgan, Jane M.
Hoboken : Wiley, 2020.
|
Fondos |
|
| 24 | 978-1-138-39329-5 | Libro |
Probability and statistics for data science : math + R + data / Norman Matloff.
Matloff, Norman S.
Boca Raton, Florida : CRC Press, 2020.
|
Fondos |
|
| 25 | 978-1-118-94889-7 | Libro |
Predictive analytics : parametric models for regression and classification using R / Ajit C. Tamhane with contributions from Edward C. Malthouse.
Tamhane, Ajit C.
Hoboken : Wiley & Sons, 2020.
|
Fondos |
|
| 26 | 978-0-367-35798-6 | Libro |
Introduction to data science : data analysis and prediction algorithms with R / Rafael A. Irizarry.
Irizarry, Rafael A.
Boca Ratón : CRC, 2020.
|
Fondos |
|
| 27 | 978-1-138-49568-5 | Libro |
Hands-on machine learning with R / Brad Boehmke, Brandon Greenwell.
Boehmke, Bradley C.
Boca Ratón : CRC Press, 2020.
|
Fondos |
|
| 28 | 978-1-119-51604-0 | Libro |
Data mining : concepts, models, methods, and algorithms / Mehmed Kantardzic.
Kantardzic, Mehmed
Hoboken, New Jersey : Wiley, 2020.
|
Fondos |
|
| 29 | 978-1-119-63272-6 | Libro |
The big R-book : from data science to learning machines and big data / Philippe J. S. De Brouwer.
De Brouwer, Philippe J. S.
Hoboken, New Jersey : Wiley, 2020.
|
Fondos |
|
| 30 | 978-1-4987-8575-4 | Libro |
Bayesian hierarchical models : with applications using R / by Peter D. Congdon.
Congdon, Peter
Boca Raton : CRC Press, 2020.
|
Fondos |
|
| 31 | 978-3-030-39691-6 (En línea) | Libro |
Analytical theory of democracy [Recurso electrónico] : history, mathematics and applications / by Andranik Tangian.
Tangian, Andranik
Cham : Springer, 2020.
https://doi.org/10.1007/978-3-030-39691-6
|
|
|
| 32 | 978-1-118-38798-6 | Libro |
Advanced statistics with applications in R / Eugene Demidenko.
Demidenko, Eugene
Hoboken, New Jersey : Wiley, 2020.
|
Fondos |
|
| 33 | 978-1-119-52038-2 | Libro |
Using Excel for business and financial modelling : a practical guide / Danielle Stein Fairhurst.
Fairhurst, Danielle Stein
Chichester, West Sussex : Wiley, 2019.
|
Fondos |
|
| 34 | 978-1-138-03536-2 | Libro |
Robust statistical methods with R / Jana Jurečková, Jan Picek, Martin Schindler.
Jurečková, Jana (1940-)
Boca Raton, Florida : CRC Press, cop. 2019.
|
Fondos |
|
| 35 | 978-1-118-73806-1 | Libro |
Robust nonlinear regression : with applications using R / Hossein Riazoshams, Habshah Midi, Gebrenegus Ghilagaber.
Riazoshams, Hossein
Hoboken, NJ : Wiley, 2019.
|
Fondos |
|
| 36 | 978-1-138-48403-0 | Libro |
Reproducible finance with R : code flows and shiny apps for portfolio analysis / Jonathan K. Regenstein.
Regenstein, Jonathan K.
Boca Raton : CRC Press, cop. 2019.
|
Fondos |
|
| 37 | 978-0-19-090066-3 | Libro |
Reproducible econometrics using R / Jeffrey S. Racine.
Racine, Jeffrey Scott
New York : Oxford University Press, 2019.
|
Fondos |
|
| 38 | 978-1492040682 | Libro |
R Cookbook. : proven recipes for Data Analysis, Statistics, and graphics / J.D. Long and Paul Teetor.
Long, James D.
Sebastopol : O’Reilly Media, 2019.
|
Fondos |
|
| 39 | 978-1-138-32916-4 | Libro |
R companion to elementary applied statistics / Christopher Hay-Jahans.
Hay-Jahans, Christopher
Boca Raton : CRC Press, cop. 2019.
|
Fondos |
|
| 40 | 978-981-13-3169-5 | Libro |
Qualitative research using R : a systematic approach / Yanto Chandra, Liang Shang.
Chandra, Yanto
Singapore : Springer, 2019.
|
Fondos |
|
| 41 | 978-84-362-7567-4 | Libro |
Métodos de data science aplicados a la economía y a la administración y dirección de empresas. / Juan Antonio Vicente Vírseda, Julio González Arias, Francisco Javier Parra Rodríguez, Manuel Beltrán Pascual.
Vicente Vírseda, Juan Antonio
Madrid : UNED, 2019.
|
Fondos |
|
| 42 | 978-1-108-49420-5 | Libro |
Model-based clustering and classification for data science : with applications in R / Charles Bouveyron, Gilles Celeux, T. Brendan Murphy, Adrian E. Raftery.
Bouveyron, Charles
Cambridge, UK : Cambridge University Press, 2019.
|
Fondos |
|
| 43 | 978-0-12-813512-9 (en línea) | Libro |
Introduction to quantitative macroeconomics using Julia [Recurso electrónico] : from basic to state-of-the-art computational techniques / Petre Caraiani.
Caraiani, Petre
London : Academic Press, 2019.
https://www.sciencedirect.com/book/9780128122198/introduction-to-quantitative-macroeconomics-using-julia
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| 44 | 978-0-12-812219-8 | Libro |
Introduction to quantitative macroeconomics using Julia : from basic to state-of-the-art computational techniques / Petre Caraiani.
Caraiani, Petre
London : Academic Press, cop. 2019.
|
Fondos |
|
| 45 | 978-1789616712 | Libro |
Hands-on reinforcement learning with R. : get up to speed with building self-learning systems using R 3.x / Giuseppe Ciaburro.
Ciaburro, Giuseppe
Birmingham : Packt, 2019.
|
Fondos |
|
| 46 | 978-3-030-17020-2 (En línea) | Libro |
Economics for a fairer society [Recurso electrónico] going back to basics using agent-based models / by Tim Gooding.
Gooding, Tim
Cham : Springer International Publishing Imprint: Palgrave Pivot, 2019.
https://doi.org/10.1007/978-3-030-17020-2
|
|
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| 47 | 9789813290198 (En línea) | Libro |
Econometrics in theory and practice [Recurso electrónico] : analysis of cross section, time series and panel data with Stata 15.1 / by Panchanan Das.
Das, Panchanan.
Singapore : Springer, 2019.
https://doi.org/10.1007/978-981-32-9019-8
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