Target Audience
Call for Abstract/Appel à résumé
There are no formal pre-requisites for attendance in terms of academic degrees. We strongly encourage the participation of:
All STEM students (eg: Physics, Mathematics, Computer Science) who have interests in machine learning and AI applied to cyber security and/or agriculture. You are advised to come along with your personal computer for practicals and hackathons.
All industry professionals desiring to either know the potentiality of AI and Machine Learning for themselves or have a more in-depth understanding of these subjects.
Registration is free!
Conference Application link: here
In-person Application Deadline: 10th June 2023.
Online Application Deadline: 18th June 2023.
Note: If you are a start-up or a business with activities related to the field of AI and Machine Learning, contact us directly by email: indabaxcameroon-douala2023@googlegroups.com
English: Are you a Master's 2 or Ph.D. student and want to present your work, from June 19 to June 21st? the University of Douala is organising the IndabaX conference and the call for posters is out. Submit your abstract here for a poster presentation and stand to win a prize for the best poster, the 3 best posters will receive prizes. Abstract guide.
French: Vous êtes étudiant en Master 2 ou en Doctorat et souhaitez présenter vos travaux sous forme de poster, du 19 au 21 Juin, l'Université de Douala organise une conférence IndabaX et l'appel à posters est lancé. Soumettez votre résumé ici pour une présentation de poster et tentez de gagner un prix pour le meilleur poster, les 3 meilleurs poster recevrons des prix. Guide résumé.
Important dates
Application Deadline: May 25th, 2023
Notification: June 5th, 2023
Poster submission deadline: June 10th, 2023
Deep Learning Indaba: The winner of the poster category will have the opportunity to participate in and present their poster at the Deep Learning Indaba Conference in Accra in September 2023. This prestigious event brings together experts and enthusiasts in the field of deep learning, offering unparalleled networking and learning opportunities.
Requirements and Prerequisites
No deep or previous knowledge of Machine Learning is required, but the attendants are assumed to have some basic background in linear algebra and programming. A review of basic concepts of programming (python) and an introduction to the necessary tools for implementation of machine learning algorithms using python will be given in the practical hands-on tutorial. We shall consider a beginner level.
Conference Venue:
ZOOM (Link will be sent to applicants a few hours before the conference)
University of Douala - Faculty of Sciences (Campus 2 Ndogbong – Complex of professionalization)