Deep learning applications in operations research

Ajay Kumar (), Alexandra Brintrup, Eric W. T. Ngai, Ravi Shankar and Myong K. Jeong
Additional contact information
Ajay Kumar: EM - EMLyon Business School
Alexandra Brintrup: CAM - University of Cambridge [Cambridge, UK]
Eric W. T. Ngai: POLYU - The Hong Kong Polytechnic University [Hong Kong]
Ravi Shankar: IIT Delhi - Indian Institute of Technology Delhi
Myong K. Jeong: Rutgers - Rutgers University System

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Abstract: Data science emerges as an inter-disciplinary field, employs scientific methods and algorithms to extract useful insights, and generate value from large datasets, benefiting individuals, firms, and society. In the big data-driven era, traditional data science is undergoing a significant transformation due to the emergence of deep learning. Deep learning, a specialized category of machine learning (ML) algorithms uses multiple layers to uncover hidden patterns, and valuable insights from the big datasets. Deep learning models have gained popularity these days due to their ability to provide superior predictive performance compared to traditional ML models, particularly when trained on large datasets (Kraus et al., 2020).

Keywords: Data (search for similar items in EconPapers)
Date: 2026-03-01
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Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:hal-05531896

DOI: 10.1007/s10479-024-06102-5

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