Recording

https://drive.google.com/file/d/1UlSG0OA_atWu8MPDOiwKROkZKVM0yhqk/view?usp=sharing

Presentation Slides + Resources

Bezerra: https://docs.google.com/presentation/d/1TxSBJceEtDFRlAXEQh0gtsw7DeXypJCS83fiWU8KksU/edit?usp=sharing

Adenomon: https://drive.google.com/file/d/1yZaT3gqBepcY8Xog8H86ywzE-WrzVh9u/view?usp=sharing

Nunes: https://drive.google.com/file/d/1bM7z0AsJmc-I4esaSdJim7ObIQ0lVpri/view?usp=sharing

Syllabus: https://drive.google.com/file/d/1bcCiTuXjeXNWAKDuVuY0nRQ2ZBXtUwQ2/view?usp=sharing

Abstract

October 29, 2020

Title: New Approaches to Statistical Learning in Developing Countries

Abstract: Statistical learning is an area of knowledge that uses Statistics and Computer Science tools for understanding and modeling data. There are many free resources, such as computer software and data sources, to help anyone who wants to teach this subject in developing countries. We will show through examples how statistical educators can take advantage of some of these resources to prepare their students for the changes that are already happening in the statistical world.

Chair: Asifa Kamal

Speakers:

Marcus Alexandre Nunes, Department of Statistics, Federal University of Rio Grande do Norte, Brazil

Leonardo César Teonácio Bezerra, Instituto Metrópole Digital, Federal University of Rio Grande do Norte, Brazil

Monday Osagie Adenomon, Department of Statistics & NSUK-LISA Stat Lab, Nasarawa State University, Keffi, Nigeria