Primer on Machine Learning Applications in Civil Engineering

Discover the transformative power of machine learning in civil engineering with Primer on Machine Learning Applications in Civil Engineering by Paresh Chandra Deka. Published by Taylor & Francis Ltd in 2019, this hardback edition spans 258 pages and offers a comprehensive overview of cutting-edge machine learning techniques tailored for civil engineering challenges.

Explore how these innovative methods can effectively address critical issues such as drought forecasting, river flow forecasting, precipitation forecasting, and significant wave height forecasting. The book delves into both theoretical foundations and practical applications, making it an invaluable resource for professionals and students alike. Enhance your knowledge and skills in this rapidly evolving field and learn how to implement machine learning solutions to improve engineering practices.