THEME : RÉSOUDRE LES PROBLÈMES LOCAUX GRÂCE À L'INTELLIGENCE ARTIFICIELLE
Nombre de participants: 61
Institution d'accueil : CENTRE NATIONAL DE FORMATION EN STATISTIQUE, DÉMOGRAPHIE ET PLANIFICATION (CNFSDP) EX CASP
Adresse : Croisement avenues Lampama et Akouala, Mpila (Arrêt TP, non loin de l’Avenue de l’Intendance), Ouenzé / Brazzaville -République du Congo
The IndabaX is a way to experiment with the ways in which we can strengthen our Machine Learning community, and to allow more people to contribute to the conversation of ML and AI across our continent.
A Deep Learning IndabaX is a locally-organised Indaba that helps spread knowledge and builds capacity in machine learning and artificial intelligence in individual countries across Africa..
LEKO MOUTOUO Domini Jocema
Research and Teaching Assistant
African Institute for Mathematical Sciences (AIMS), Cameroon
Email : domini@aims.ac.za
Verlon Roel Mbingui
Doctoral Researcher in Data Science
African Institute for Mathematical Sciences Research and innovation (AIMS RIC)
Email : vrmbingui@aimsammi.org
AZIKA-EROS Christ
CTO of Mayele – Digital Transformation for Africa
ex CMO at Airtel Congo
Emery Patrice Mouandza
Data Scientist et Coordonnateur de la recherche et de la coopération au Centre National de Formation en Statistique, Démographie et planification (CNFSDP) ex CASP (Congo)
EVENT SPONSORS
Contact info : indabax.congo@gmail.com
