Introductory Machine Learning for Non STEM Students
tipo de documento semantico ckh_publication
Ficheros
ML_NonSTEM.pdf
Tamaño
1150802
Formato
Adobe PDF
Url del contenido
https://repositorio.comillas.edu/rest/bitstreams/427602/retrieve
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.
Uri identificador
http://hdl.handle.net/11531/50540
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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