Introductory Machine Learning for non STEM students

Javier Garcia-Algarra
Proceedings of the First Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 141:7-10, 2021.

Abstract

Data Science in general, and Machine Learning in particular, is a powerful tool for decision-makers across non-STEM fields like Human Resources Management, Law or Marketing. Introductory Machine Learning, for non-majors that lack a strong background in Statistics and Computer Science, is a challenge for both teacher and students. The use of similes and games is a soft way to deal with definitions of concepts and procedures that are essential for further advanced courses on these subjects.

Cite this Paper

BibTeX
@InProceedings{pmlr-v141-garcia-algarra21a, title = {Introductory Machine Learning for non STEM students}, author = {Garcia-Algarra, Javier}, booktitle = {Proceedings of the First Teaching Machine Learning and Artificial Intelligence Workshop}, pages = {7--10}, year = {2021}, editor = {Bischl, Bernd and Guhr, Oliver and Seibold, Heidi and Steinbach, Peter}, volume = {141}, series = {Proceedings of Machine Learning Research}, month = {14 Sep}, publisher = {PMLR}, pdf = {http://proceedings.mlr.press/v141/garcia-algarra21a/garcia-algarra21a.pdf}, url = {https://proceedings.mlr.press/v141/garcia-algarra21a.html}, abstract = {Data Science in general, and Machine Learning in particular, is a powerful tool for decision-makers across non-STEM fields like Human Resources Management, Law or Marketing. Introductory Machine Learning, for non-majors that lack a strong background in Statistics and Computer Science, is a challenge for both teacher and students. The use of similes and games is a soft way to deal with definitions of concepts and procedures that are essential for further advanced courses on these subjects.} }
Endnote
%0 Conference Paper %T Introductory Machine Learning for non STEM students %A Javier Garcia-Algarra %B Proceedings of the First Teaching Machine Learning and Artificial Intelligence Workshop %C Proceedings of Machine Learning Research %D 2021 %E Bernd Bischl %E Oliver Guhr %E Heidi Seibold %E Peter Steinbach %F pmlr-v141-garcia-algarra21a %I PMLR %P 7--10 %U https://proceedings.mlr.press/v141/garcia-algarra21a.html %V 141 %X Data Science in general, and Machine Learning in particular, is a powerful tool for decision-makers across non-STEM fields like Human Resources Management, Law or Marketing. Introductory Machine Learning, for non-majors that lack a strong background in Statistics and Computer Science, is a challenge for both teacher and students. The use of similes and games is a soft way to deal with definitions of concepts and procedures that are essential for further advanced courses on these subjects.
APA
Garcia-Algarra, J.. (2021). Introductory Machine Learning for non STEM students. Proceedings of the First Teaching Machine Learning and Artificial Intelligence Workshop, in Proceedings of Machine Learning Research 141:7-10 Available from https://proceedings.mlr.press/v141/garcia-algarra21a.html.

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