DSA June 2015 Summer School on Machine Learning and Data Science

A summer school on machine learning and data science was held prior to the main workshop. The summer school targeted graduate students, researchers, and professionals working with large amounts of data or unique datasets.

The program focused on introductory and advanced lectures in data science and machine learning, as well as moderate to advanced practical and tutorial sessions where participants engaged hands-on in wrangling and processing datasets and applying cutting-edge machine learning techniques to derive insights from the data. Lectures were delivered by distinguished, world-renowned researchers and practitioners, including experts from Sheffield University, IBM Research, Facebook, Pulse Lab Kampala, and the AI and Data Science (AIR) Lab at Makerere University.

The school also featured end-to-end tutorial sessions led by professionals who guided participants through a complete data analytics problem—from data acquisition to data presentation. To fully benefit from the course, participants were encouraged to have some background in programming, particularly in Python.

School programme outline:

DAY 1 SCHEDULE

DAY 2 SCHEDULE

DAY 3 SCHEDULE