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| dc.contributor | Vitrià i Marca, Jordi | |
| dc.creator | Boldú Quirós, Josep | |
| dc.date | 2017-10-13T09:17:37Z | |
| dc.date | 2017-10-13T09:17:37Z | |
| dc.date | 2017-01-26 | |
| dc.date.accessioned | 2024-12-16T10:25:41Z | |
| dc.date.available | 2024-12-16T10:25:41Z | |
| dc.identifier | http://hdl.handle.net/2445/116550 | |
| dc.identifier.uri | http://fima-docencia.ub.edu:8080/xmlui/handle/123456789/19861 | |
| dc.description | Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2017, Director: Jordi Vitrià i Marca | |
| dc.description | This project is based on a challenge provided by the website called Kaggle, which involves the creation of an automatic learning system that makes possible a prediction of clicks on online advertising. Assuming this challenge, a program that is able to predict ad clicks has been created, but by using new technologies like Docker, which makes possible a virtualization of a customized Linux environment ideal for programming Tensorflow, a library that enables an automatic, fast and flexible learning. The program’s main algorithm makes an automatic learning using a linear regression model that feeds from the database provided by Kaggle, which is destined for this challenge. This database is composed of a 10 day history of ad clicks and no clicks. | |
| dc.format | 36 p. | |
| dc.format | application/pdf | |
| dc.language | cat | |
| dc.rights | memòria: cc-by-sa (c) Josep Boldú Quirós, 2017 | |
| dc.rights | codi: GPL (c) Josep Boldú Quirós, 2017 | |
| dc.rights | http://creativecommons.org/licenses/by-sa/3.0/es | |
| dc.rights | http://www.gnu.org/licenses/gpl-3.0.ca.html | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.source | Treballs Finals de Grau (TFG) - Enginyeria Informàtica | |
| dc.subject | Aprenentatge automàtic | |
| dc.subject | Algorismes computacionals | |
| dc.subject | Programari | |
| dc.subject | Publicitat per Internet | |
| dc.subject | Mineria de dades | |
| dc.subject | Treballs de fi de grau | |
| dc.subject | Machine learning | |
| dc.subject | Computer algorithms | |
| dc.subject | Computer software | |
| dc.subject | Internet advertising | |
| dc.subject | Data mining | |
| dc.subject | Bachelor's theses | |
| dc.title | Predicció de clics amb Tensorflow | |
| dc.type | info:eu-repo/semantics/bachelorThesis |
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