Data Science and Interdisciplinarity

Author:

Egger Roman,Yu Joanne

Publisher

Springer International Publishing

Reference59 articles.

1. Abellana, D. P. M., Rivero, D. M. C., Aparente, M. E., & Rivero, A. (2020). Hybrid SVR-SARIMA model for tourism forecasting using PROMETHEE II as a selection methodology: A Philippine scenario. Journal of Tourism Futures, 7(1), 78–97.

2. Addair, T., Molino, P., & Dudin, Y. (2020). Ludwig v0.3 introduces hyperparameter optimization, transformers and TensorFlow 2 support. Retrieved from https://eng.uber.com/ludwig-v0-3/

3. Alarcón-Soto, Y., Espasandín-Domínguez, J., Guler, I., Conde-Amboage, M., Gude-Sampedro, F., Langohr, K., & Gómez-Melis, G. (2019). Data science in biomedicine. arXiv preprint arXiv:1909.04486.

4. Arefieva, V., Egger, R., & Yu, J. (2021). A machine learning approach to cluster destination image on Instagram. Tourism Management, 85, 104318.

5. Baldassarre, M. (2016). Think big: Learning contexts, algorithms and data science. Research on Education and Media, 8(2), 69–83.

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