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Luis D. Torres's Projects

csr_gendergap icon csr_gendergap

This analysis examines how responsible businesses can reduce the gender gap at work. The methodology is based on a quantitative design and a web-based questionnaire in a sample of 130 Latin American companies.

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This research is part of the Data and Connectivity National Core Study, led by Health Data Research UK in partnership with the Office for National Statistics and funded by UK Research and Innovation.

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This report presents the results of creating a simple movie recommendation system using the 10M version of Movie- Lens dataset.

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HDR UK OSS Contributions

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Guest-lecture on SEM at Cork University Business School

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A sociological investigation of underemployment and the lived experiences of underemployed workers

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In this work, three machine learning techniques are used to determine dependency of white wine quality on eleven wine characteristic. Machine learning techniques are compared by calculating the level of accuracy of the model.

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