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http://hdl.handle.net/2445/116550
Title: | Predicció de clics amb Tensorflow |
Author: | Boldú Quirós, Josep |
Director/Tutor: | Vitrià i Marca, Jordi |
Keywords: | Aprenentatge automàtic Algorismes computacionals Programari Publicitat per Internet Mineria de dades Treballs de fi de grau Machine learning Computer algorithms Computer software Internet advertising Data mining Bachelor's theses |
Issue Date: | 26-Jan-2017 |
Abstract: | 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. |
Note: | Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2017, Director: Jordi Vitrià i Marca |
URI: | http://hdl.handle.net/2445/116550 |
Appears in Collections: | Programari - Treballs de l'alumnat Treballs Finals de Grau (TFG) - Enginyeria Informàtica |
Files in This Item:
File | Description | Size | Format | |
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codi_font.zip | Codi font | 14 kB | zip | View/Open |
memoria.pdf | Memòria | 663.39 kB | Adobe PDF | View/Open |
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