Machine Learning, the basics

Pierre Gançanski, Icube Laboratoire des sciences de l’ingénieur de l’informatique et de l’imagerie, Université de Strasbourg

What is it? How does it work? How do we apply it? Pierre will introduce you to Machine Learning techniques and how it applies both in the laboratory and in the workplace.

Text mining and topic modeling with R

Emmanuelle Claeys, espoir recherche, Data Mining

Unsupervised Learning: Principal Component Analysis and Clusters

Nancy Rebout, PhD student, Ethologie Cognitive et Sociale, Strasbourg

Capture and data transmission with LoRa

Manuel Yguel, PhD CS & Robotics, Ing., Strataggem

Python – beginner level

Epitech’s Coding Club

An introduction to Tidyverse

Myriam Maumy-Bertrand, Associate professor, Project leader for CEMOSIS

R-Ladies Global and R-Ladies Strasbourg

Rita Giordano, PhD, R-Ladies Strasbourg founder and organiser

R-Ladies is an association present at the world level and aims to promote gender diversity in the R community. In my presentation I will introduce R-Ladies and the Strasbourg chapter R-Ladies Strasbourg.

Presentation of association WiMLDS

Its mission is to support and promote women and gender minorities who practice, study or are interested in the fields of machine learning and data science.

The business of Data Science

Michel Lutz, Group Data Officer, Total

Michel Lutz will introduce us to the Data Science professions as practiced in the Total group.

Treat personal data in the “post-RGPD” era

Paul Peiffer

Python – confirmed level

Epitech’s Coding Club

Machine learning in journalism

Raphaël da Silva, data journalist

Data Science in Alsace

Le Village de la Data

Local companies involved in the field of Data Science will present their activity. Actinvision will be present.

Training in Data Science

Le Village de la Data

Representatives of the different trainings will present the programs and their areas of interest in data science. Some training presentations will also be supported by some of the students. Thus Jean-Baptiste Wahl, current Data Scientist, will testify to the training he received at the University of Strasbourg.

Pitches and award ceremony

Come and watch the pitches of the Data Trek participants and check which projects will be rewarded. The last stretch of the Data Trekkers is open to everyone!