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Applications of Machine Learning and Data Analytics Models in Maritime Transportation - by Ran Yan & Shuaian Wang (Hardcover)

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Updated: Nov 02, 2026

About this item

About the Book This book explores the principles of analysing maritime-transportation related practical problems using data-driven models, with a particular focus on machine learning. Coverage includes data-enabled methodologies, technologies, applications and case studies.

Book Synopsis Machine learning and data analytics can be used to inform technical, commercial and financial decisions in the maritime industry. The purpose of this book is to provide maritime researchers and professionals with insights into the use of data-driven models, especially those considering shipping domain knowledge

  • Features
    • Machine learning and data analytics can be used to inform technical, commercial and financial decisions in the maritime industry.
    • Author(s): Ran Yan & Shuaian Wang
    • 319 Pages
    • Technology & Engineering, Marine & Naval
    • Series Name: Transportation

Specifications

Dimensions (Overall)

9.4 Inches (H) x 6.4 Inches (W) x .8 Inches (D)

Weight

1.5 Pounds

Suggested Age

22 Years and Up

Number of Pages

319

Genre

Technology & Engineering

Sub-Genre

Marine & Naval

Series Title

Transportation

Publisher

Institution of Engineering & Technology

Format

Hardcover

Author

Ran Yan & Shuaian Wang

Language

English

Product photos are for illustrative purposes only and are exemplary. The colors, inscriptions, parameters, dimensions, sizes, functions, and/or any other features of the original products may look different than in reality due to their visual characteristics, so please refer to the product features that are indicated in the product descriptions.

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