Teaching Machine Learning in Argentina: the ClusterAI pipeline

Martin Palazzo, Agustin Velazquez, Melisa Breda, Matias Callara, Nicolas Aguirre
Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 170:83-87, 2022.

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.

Cite this Paper

BibTeX
@InProceedings{pmlr-v170-palazzo22a, title = {Teaching Machine Learning in Argentina: the ClusterAI pipeline}, author = {Palazzo, Martin and Velazquez, Agustin and Breda, Melisa and Callara, Matias and Aguirre, Nicolas}, booktitle = {Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop}, pages = {83--87}, year = {2022}, editor = {Kinnaird, Katherine M. and Steinbach, Peter and Guhr, Oliver}, volume = {170}, series = {Proceedings of Machine Learning Research}, month = {08--13 Sep}, publisher = {PMLR}, pdf = {https://proceedings.mlr.press/v170/palazzo22a/palazzo22a.pdf}, url = {https://proceedings.mlr.press/v170/palazzo22a.html}, 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.} }
Endnote
%0 Conference Paper %T Teaching Machine Learning in Argentina: the ClusterAI pipeline %A Martin Palazzo %A Agustin Velazquez %A Melisa Breda %A Matias Callara %A Nicolas Aguirre %B Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop %C Proceedings of Machine Learning Research %D 2022 %E Katherine M. Kinnaird %E Peter Steinbach %E Oliver Guhr %F pmlr-v170-palazzo22a %I PMLR %P 83--87 %U https://proceedings.mlr.press/v170/palazzo22a.html %V 170 %X 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.
APA
Palazzo, M., Velazquez, A., Breda, M., Callara, M. & Aguirre, N.. (2022). Teaching Machine Learning in Argentina: the ClusterAI pipeline. Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, in Proceedings of Machine Learning Research 170:83-87 Available from https://proceedings.mlr.press/v170/palazzo22a.html.

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