Geodesic
Data science for novice students: A didactic approach to data mining using neural networks
The Teaching of Mathematics, XXIII (2020) no. 2, p. 90 .

Voir la notice de l'article provenant de la source eLibrary of Mathematical Institute of the Serbian Academy of Sciences and Arts

This paper presents a way to introduce data science to college (business) students. To this end, data mining using neural networks may be practiced. After briefly clarifying the main differences between data science and data mining, the work with neural networks is examined in detail. The examination deals with the features and affordances of this work, as well as its expected challenges with possible reasons. The paper ends with a number of implications for practice, teacher education, and research.
Classification : 97K80, 97P80 K85, P85
Keywords: Neural networks, data mining, data science, college education. 
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     author = {Djordje M. Kadijevich},
     title = {Data science for novice students: {A} didactic approach to data mining using neural networks},
     journal = {The Teaching of Mathematics},
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     publisher = {mathdoc},
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     number = {2},
     year = {2020},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/TM2_2020_XXIII_2_a1/}
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Djordje M. Kadijevich. Data science for novice students: A didactic approach to data mining using neural networks. The Teaching of Mathematics, XXIII (2020) no. 2, p. 90 . http://geodesic.mathdoc.fr/item/TM2_2020_XXIII_2_a1/