Teaching Machine Learning in Argentina: the ClusterAI pipeline

Martin Palazzo, Agustin Velazquez, Melisa Breda, Matias Callara, Nicolas Aguirre

Keywords: Machine Learning, Teaching, Argentina

Abstract: Teaching machine learning has been a growing activity in almost any educational establishment. Despite the high availability on study materials, Latin America region has seen a lack of educational programs focused on machine learning. Additionally the majority of educational materials are available only in English. In this work we propose the ClusterAI pipeline based on a curated list of topics in Spanish and a collaboration with the Buenos Aires city government that open public data-sets that let students to apply machine learning models on real data.