The Data Science Nigeria 2018 Inter-Campus Machine Learning (ML) Competition is a program designed to raise a generation of data scientists and Artificial Intelligence experts from all Nigerian Universities and Polytechnics.
Artificial intelligence and its various extensions in machine learning and big data will revolutionize the future, and it is important that academic curriculum is tailor-made to serve this purpose. We must ensure the most up-to-date and high quality learning opportunities are available to prepare Nigerians for the well-paying earning opportunities of the future. This also complements the discourse on the need to make Nigerian graduates job-ready with the right skillsets, knowledge and expertise for the opportunities that the marketplace requires both locally and internationally. Machine learning has also evolved to become the platform for more disruptive and high-impact multidisciplinary research. Every researcher will need hands-on mastery of machine learning to be able to apply it and solve problems within their domain of subject matter expertise. This is the rationale behind this learning-oriented competition with a sense of healthy competitiveness between universities and polytechnics across the country. We believe that after this competition more Nigerian students will be interested in learning R or Python programming languages and hands-on machine learning principles.
You can study the materials in groups and/or attend all the special classes that will be held at the AIHub in person or via online channels. After the study, submit your completion certificates and/or score sheet by email to info@datasciencenigeria.org or datasciencenigeria@gmail.com All entries received on or before 22 September 2019 will qualify for the Kaggle competition. After you submit your completion certificates you will be given a unique link to participate in the Kaggle competition. This link is for you and cannot be shared with anyone else.
Inter-Campus Machine Learning Competition for Nigerian Schools
How to participate
S/N
Python route
R route
1
Introduction to Python for data science
Introduction to R for data science
2
Principle of Machine Learning