Data Science Summer School 2016
Makerere University, College of Computing and IS hosted the Data science Summer School from 27TH June to 29th June 2016. The workshop targeted graduate students, researchers and professionals working with huge amounts of data or unique datasets.
The Summer school focuses on introductory and advanced learners in Data science and Machine learning as well as moderate to advanced practical and tutorial sessions where participants engage with datasets applying Machine learning techniques to derive inference for data.
The lecturers were given by distinguished world renowned researchers and practitioners from Sheffield University, IBM Research, Facebook, Global Pulse Lab (Kampala) and the AI (Artificial Intelligence) and Research Data Science Lab at Makerere University. To benefit from this course, participants were encouraged to have some background in programming particularly with Python.
Dr. Mike Smith from Sheffield University lectured on Classification and specialized on Acute Malnutrition Screening in order to determine people that have severe malnutrition. He also used the Mid-Upper-Arm Circumference (MUAC) and the Weight for Height Z-score (WHZ) methods to determine malnutrition.
Data science seeks to exploit advances in machine learning and statistics to make sense of the growing amounts of data available from various sources. In Africa, a number of problems in areas such as healthcare, agriculture, disaster response and wildlife conservation would benefit greatly if domain experts were exposed to data science techniques. These skills would allow practitioners to extract useful information from these abundant sources of raw data