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EnglishMachine learning (ML), and particularly algorithms based on artificial neural networks (ANN), constitute a field of research lying at the intersection of different disciplines such as mathematics, statistics, computer science and neuroscience. This approach is characterized by the use of algorithms to extract knowledge from large and heterogeneous data sets. In addition to offering a brief introduction to ANN algorithms-based ML, in this paper we will focus our attention on its possible applications in the social sciences and, in particular, on its potential in the data analysis procedures. In this regard, we will provide three examples of applications on sociological data to assess the impact of ML in the study of relationships between variables. Finally, we will compare the potential of ML with traditional data analysis models.
Machine Learning, Artificial Neural Networks and Social Research / Di Franco, Giovanni; Santurro, Michele. - In: QUALITY AND QUANTITY. - ISSN 1573-7845. - (2020), pp. 1-21. [10.1007/s11135-020-01037-y]
| Titolo: | Machine Learning, Artificial Neural Networks and Social Research | |
| Autori: | SANTURRO, MICHELE (Secondo) | |
| Data di pubblicazione: | 2020 | |
| Rivista: | ||
| Citazione: | Machine Learning, Artificial Neural Networks and Social Research / Di Franco, Giovanni; Santurro, Michele. - In: QUALITY AND QUANTITY. - ISSN 1573-7845. - (2020), pp. 1-21. [10.1007/s11135-020-01037-y] | |
| Handle: | http://hdl.handle.net/11573/1435225 | |
| Appartiene alla tipologia: | 01a Articolo in rivista |
File allegati a questo prodotto
| File | Note | Tipologia | Licenza | |
|---|---|---|---|---|
| 10.1007_s11135-020-01037-y.pdf | Documento in Post-print (versione successiva alla peer review e accettata per la pubblicazione) |  | Open Access Visualizza/Apri |
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