Ms_ml_short_courses

Application External applicants should complete an application form (link below) that will require applicants to provide the following information: Affiliation/organisation and role/position CV Link to GitHub profile Short description of previous projects Details of one referee Short bio/personal statement Registration fees: R6,600 (ZAR) (The registration fee includes the 5 day course, 3 meals per day, and a social dinner.

Lecturers Juliette Unwin Dr Juliette Unwin is a lecturer in statistical science at the University of Bristol. She is interested in developing and applying novel methods for infectious disease outbreak analysis to help inform policy makers in real time.

Modern Statistics and Machine Learning for Population Health in Africa A hands-on course for students and researchers at the intersection of statistics, probabilistic programming, and population health 24th - 28th March 2025 Location: AIMS Cape Town, South Africa Organised by: Department of Mathematics, Imperial College London; the Machine Learning and Global Health Network; and the African Institute for Mathematical Sciences

Course programme 24 March, Day 1 Intro to Stan Recap: python basics and Bayesian inference Statistical learning with Stan 25 March, Day 2 Scalable Gaussian process regression models Intro to Gaussian processes Scalable Gaussian process regression models in Stan Insight into the application of methods with research talks from the Machine Learning and Global Health Network 26 March, Day 3 Application of methods to real-world data

Travel information Applying for visas to South Africa Check here whether you will need a visa to enter South Africa: https://www.dha.gov.za/index.php/immigration-services/exempt-countries. If in doubt, please also confirm with your local South African authority.