Tag Archives: R_fr

15Nov/18

Meetup Machine Learning Aix-Marseille S04E02

Meetup Machine Learning Aix-Marseille
Tonight I am participating in the Machine Learning Aix-Marseille Meetup, for the second session of this fourth edition. I am speaking after Leonardo Noleto, senior data scientist at Bleckwen FinTech who is developing a solution to fight financial fraud with machine learning. I will present the project on which Enora Belz, Romain Gaté, Vincent Malardé, Jimmy Merlet, Arthur Charpentier and I worked on last summer for the 2018 Football World Cup (see a previous post). The idea was to use machine learning techniques to predict the outcome of football matches (win, draw or defeat).

The slides are available here (in French): http://www.egallic.fr/Recherche/Worldcup_2018/2018_meetup_ML/egallic_meetup.html

06Jul/18

R (French) conferences 2018

Fifa World Cup 2018

Since Wednesday, I have been attending the 7th R (French) conferences, in Rennes, at Agrocampus Ouest.

On this occasion, before lunch, I will present our paper (working paper) co-authored with Arthur Charpentier on the use of collaborative genealogy data in historical demography. The presentation is a lightning talk: 14 slides that scroll every 24 seconds.

The slides are online (in French), and recall that the R codes are available on GitHub.

06Jun/18

Coupe du Monde 2018: Paul the octopus is back

Fifa World Cup 2018

On the occasion of Euro 2008 and Mondial 2010, the Oberhausen oracle (more commonly known as “Paul the octopus”) made the headlines. His exact predictions regarding the results of the German team at Euro 2008 and the appointment of the winning team of the 2010 World Cup (Spain) are still etched in the memories. With some colleagues (Enora Belz, Romain Gaté, Vincent Malardé and Jimmy Merlet) we tried to continue the work of the late Paul the octopus to predict the outcome of the upcoming meetings of the 2018 World Cup. To do this, we rely on the results of past World Cup and Continental Cup meetings.1

07Mar/18

Historical Demographics and Collaborative Data

Généalogie de Victor Hugo

A few month ago, I mentioned in a blog post that I had presented the beginnings of the work undertaken with Arthur Charpentier on historical demographics using collaborative data from a genealogy website, geneanet.org. I also reported on the progress of our research during some morning presentations with the members of the Actinfo Chair (see the blog post). Today, Arthur and I published a working paper on HAL untitled “Étude de la démographie française du XIXe siècle à partir de données collaboratives de généalogie” (French for “Nineteenth-century French demography from collaborative genealogy data”). The paper is written in French.

17Nov/16

Where’s Waldo? Here he is!


Yesterday, I came across a nice article untitled “Here’s Waldo: Computing the optimal search strategy for finding Waldo“, written by Randal S. Olson. I used the data he shared to apply a correction to the kernel density estimation of Waldo’s location.

In this article, Randal explains that he has devoted some time to try to compute the optimal search strategy for finding Waldo. To that end, he has used some machine learning techniques.
From an image provided by Slate (Here’s Waldo, 2013, by Ben Blatt), Randal S. Olson retrieved the coordinates of 68 different locations of Waldo, and kindly shared the data afterwards.

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16Feb/15

Qui va gagner la Nouvelle Star ? À vos votes Twitter !

Cumul des votes par candidat au cours de la soirée

La chaîne de télévision D8 diffuse pour la troisième année consécutive l’émission Nouvelle Star. Si ma mémoire est bonne, je n’avais pas suivi ce programme depuis la saison 2006-2007, mais j’avoue m’être pris au jeu cette année, d’autant plus que la production propose une nouveauté par rapport aux saisons précédentes : les votes par Twitter !

Jeudi dernier, le 12/02, lors du quatrième prime, je me suis diverti avec l’API de Twitter pour récupérer les tweets postés pendant l’émission.

Les résultats de ma petite analyse laissent penser que les votes par SMS et par téléphone pratiqués durant l’émission ne sont pas négligeable, et ne reflètent pas exactement ce qui se dit sur le réseau social Twitter.

Aussi, après un bref rappel du déroulement des primes, ce billet présentera quelques observations réalisées autour des tweets extraits pendant l’émission de jeudi. Une troisième partie s’adressant à ceux désirant récupérer eux-même les tweets et effectuer leur propre analyse, fournira quelques codes R.