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Bachelor thesis

Publication date

2017-01-26

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memòria: cc-by-sa (c) Josep Boldú Quirós, 2017
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/116550

Predicció de clics amb Tensorflow

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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.

Description

Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2017, Director: Jordi Vitrià i Marca

Subject

Aprenentatge automàtic, Algorismes computacionals, Programari, Publicitat per Internet, Mineria de dades, Treballs de fi de grau

Subject (English)

Machine learning, Computer algorithms, Computer software, Internet advertising, Data mining, Bachelor's theses

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Treballs Finals de Grau (TFG) - Enginyeria Informàtica
Programari - Treballs de l'alumnat

Citation

BOLDÚ QUIRÓS, Josep. Predicció de clics amb Tensorflow. [consulted: 8 of August of 2026]. Available at: https://hdl.handle.net/2445/116550

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