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Data Analytics, Artificial intelligence (AI) & Machine Learning (ML)
PAC integrates data analytics, artificial intelligence (AI), and machine learning (ML) tools to strengthen research design, enhance analytical rigour, and generate actionable insights for evidence-based governance and public policy.
Data Analytics
Data Analytics as a research tool involves collecting both quantitative and qualitative data and allows researchers to make evidence-based conclusions.
Artificial intelligence (AI)
Artificial intelligence (AI) has the potential to help tackle some of the world’s most challenging social problems. Analysing potential applications for social good, suggest that existing capabilities could contribute to tackling cases across almost all Sustainable Development Goals (SDGs), potentially helping hundreds of millions of people in both advanced and emerging countries.
Machine Learning (ML)
Machine Learning is a branch of artificial intelligence that allows software applications to predict outcomes without being explicitly programmed. A machine learning algorithm should learn the patterns of the input data to train a model which can later be used for prediction on test data.
