CompartidoEl 24/11/22 por Comillas
Working Paper

Introductory Machine Learning for Non STEM Students

tipo de documento semantico ckh_publication

Ficheros

ML_NonSTEM.pdf
Tamaño 1150802
Formato Adobe PDF
Autor
García Algarra, Francisco Javier
Estado info:eu-repo/semantics/draft

Resumen

Idioma es-ES
Idioma en-GB
Resumen

Data Science in general, and Machine Learning in particular, is a powerful tool for decision-makers across non-STEM (Sience, Techonology, Engineering
and Maths) 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.

Tipo de archivo application/pdf
Idioma es-ES
Tipo de acceso info:eu-repo/semantics/openAccess
Licencia http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Fecha de modificacion 09/09/2022
Fecha de disponibilidad 14/09/2020
fecha de alta 14/09/2020

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