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Title: Predicció de clics amb Tensorflow
Author: Boldú Quirós, Josep
Director/Tutor: Vitrià i Marca, Jordi
Keywords: Aprenentatge automàtic
Algorismes computacionals
Publicitat per Internet
Mineria de dades
Treballs de fi de grau
Machine learning
Computer algorithms
Computer software
Internet advertising
Data mining
Bachelor's thesis
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
Appears in Collections:Treballs Finals de Grau (TFG) - Enginyeria Informàtica
Programari - Treballs de l'alumnat

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