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Machine learning and data analytics can be used to inform technical, commercial and financial decisions in the maritime industry. Applications of Machine Learning and Data Analytics Models in Maritime Transportation explores the fundamental principles of analysing maritime transportation related practical problems using data-driven models, with a particular focus on machine learning and operations research models.

In an era marked by rapid technological advancements and globalization, the maritime transport and logistics industry stands at the forefront of transformation. Digital technologies are being used to improve efficiency, reliability, and sustainability within global maritime transportation and logistics, including for port management, end-to-end logistics coordination, and data sharing for supply chains.