| 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 |
|