Ordenar por: Autor | Título | Año |
| 35 | 978-1694998262 | Libro |
La transformación digital no es digital : la guía definitiva para navegar en un mar de tecnologías disruptivas y en los nuevos modelos de negocios digitales / Juan Pablo Rozas.
Rozas, Juan Pablo
[S.l.] : [s.n.], 2019.
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Fondos |
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| 36 | 978-1-119-57599-3 | Libro |
Essential algorithms : a practical approach to computer algorithms using Python and C# / Rod Stephens.
Stephens, Rod
Indianapolis : Wiley, 2019.
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Fondos |
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| 37 | 978-1-5093-0588-9 | Libro |
Microsoft Excel 2019 : data analysis and business modeling / Wayne L. Winston.
Winston, Wayne L.
[San Francisco, CA] : Microsoft Press, cop. 2019.
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Fondos |
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| 38 | 9788470527777 | Libro |
La gestión del documento electrónico / coordinador, Gerardo Bustos Pretel.
Bustos Pretel, Gerardo (coordinador)
Las Rozas (Madrid) : Wolters Kluwer, 2018.
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Fondos |
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| 39 | 978-1-138-62691-1 | Libro |
Textual data science with R / Mónica Bécue-Bertaut.
Bécue-Bertaut, Mónica
Abingdon : CRC Press, 2018.
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Fondos |
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| 40 | 978-0-19-984437-1 | Libro |
The Oxford handbook of computational economics and finance / edited by Shu-Heng Chen, Mak Kaboudan and Ye-Rong Du.
Chen, Shu-Heng (ed. lit.)
Oxford : Oxford University Press, cop. 2018.
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Fondos |
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| 41 | 978-1-61729554-6 | Libro |
Deep learning with R / François Chollet, with J.J. Allaire.
Chollet, François
Shelter Island : Manning, 2018.
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Fondos |
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| 42 | 978-1-118-94916-0 | Libro |
Panel data econometrics with R / Yves Croissant, Giovanni Millo.
Croissant, Yves
Oxford : Wiley, 2018.
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Fondos |
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| 43 | 978-0-470-97119-2 | Libro |
Financial instrument pricing using C++ / Daniel J. Duffy.
Duffy, Daniel J.
Chichester, West Sussex : Wiley, 2018.
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Fondos |
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| 44 | 978-0-19-880440-6 | Libro |
Introduction to computational economics using Fortran / Hans Fehr, Fabian Kindermann.
Fehr, Hans
Oxford : Oxford University Press, 2018.
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Fondos |
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| 45 | 978-1-59718-263-8 | Libro |
The mata book : a book for serious programmers and those who want to be / William W. Gould.
Gould, William W.
College Station : Stata Press, 2018.
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Fondos |
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| 46 | 978-1-4842-3924-7 | Libro |
Website scraping with Python : using BeautifulSoup and Scrapy / Gábor László Hajba.
Hajba, Gábor László
New York : Apress, 2018.
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Fondos |
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| 47 | 978-1-137-40951-5 (En línea) | Libro |
Singular Spectrum analysis [Recurso electrónico] using R / by Hossein Hassani, Rahim Mahmoudvand.
Hassani, Hossein
London : Palgrave Macmillan UK Imprint: Palgrave Pivot, 2018.
https://doi.org/10.1057/978-1-137-40951-5
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| 48 | 978-3-319-70894-2 (En línea) | Libro |
Toward information justice [Recurso electrónico] : technology, politics, and policy for data in higher education administration / by Jeffrey Alan Johnson.
Johnson, Jeffrey Alan
Cham : Springer International Publishing Imprint: Springer, 2018.
https://doi.org/10.1007/978-3-319-70894-2
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| 49 | 9783319781457 (En línea) | Libro |
Dynamical systems with applications using Python [Recurso electrónico] / by Stephen Lynch.
Lynch, Stephen.
Cham : Birkhäuser, 2018.
https://doi.org/10.1007/978-3-319-78145-7
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| 50 | 978-1-119-48208-6 | Libro |
Advances in financial machine learning. / Marcos López de Prado.
López de Prado, Marcos
Hoboken : Wiley, 2018.
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Fondos |
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| 51 | 978-1-491-98557-1 | Libro |
Web scraping with Python : collecting more data from the modern web / Ryan Mitchel.
Mitchell, Ryan
Sebastopol, California : O’Reilly, 2018.
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Fondos |
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| 52 | 978-1-26-010882-8 | Libro |
Building financial models : the complete guide to designing, building, and applying projection models / John S. Tjia.
Tjia, John S.
New York : MacGraw-Hill, cop. 2018.
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Fondos |
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| 53 | 978-1-4987-5005-9 | Libro |
C++ for financial mathematics / John Armstrong.
Armstrong, John (1972- )
Boca Raton : CRC, cop. 2017.
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Fondos |
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| 54 | 978-3-319-69014-8 (en línea) | Libro |
Machine-learning techniques in economics [Recurso electrónico] : new tools for predicting economic growth / Atin Basuchoudhary, James T. Bang, Tinni Sen.
Basuchoudhary, Atin
Cham : Springer, cop. 2017.
http://dx.doi.org/10.1007/978-3-319-69014-8
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| 55 | 978-0-262-03779-2 | Libro |
Machine learning for data streams : with practical examples in MOA / Albert Bifet, Ricard Gavaldà, Geoff Holmes, Bernhard Pfahringer.
Bifet, Albert
Cambridge, Massachusetts : MIT Press, cop. 2017.
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Fondos |
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| 56 | 978-1-4842-2622-3 | Libro |
ES6 for humans : the latest standard of JavaScript : ES2015 and beyond / Deepak Brover, Hanu Prateek Kunduru.
Grover, Deepak
[New York] : Apress, cop. 2017.
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Fondos |
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| 57 | 978-1-137-42658-1 (en línea) | Libro |
Financial modeling [Recurso electrónico] : an introductory guide to Excel and VBA applications in finance / by Joachim Häcker, Dietmar Ernst.
Häcker, Joachim
London : Palgrave Macmillan UK, cop. 2017.
http://dx.doi.org/10.1057/978-1-137-42658-1
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| 58 | 9783319528267 (en papel) | Libro |
Statistical tools for program evaluation [Recurso electrónico] : methods and applications to economic policy, public health, and education / Jean-Michel Josselin, Benoît Le Maux.
Josselin, Jean-Michel
Cham : Springer International Publishing, 2017.
http://dx.doi.org/10.1007/978-3-319-52827-4
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| 59 | 9781491957660 | Libro |
Python for data analysis : data wrangling with Pandas, NumPy, and IPyton / Wes McKinney.
McKinney, Wes
Sebastopol : O’Reilly, 2017.
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Fondos |
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