Machine Learning in Transportation: Applications with Examples and Codes

By Nivedya Madankara Kottayi and Rajib B Mallick

The book introduces the reader to machine learning in transportation. It discusses both simple and advanced concepts including core statistics, data wrangling, data visualization, supervised and unsupervised datamining techniques as well as text mining. The book prepares students to manage data, visualize data and apply appropriate machine learning techniques on transportation datasets to derive important insights.

• Format: Paperback
• Language: English
• ISBN: 3110788667
• ISBN13: 9783110788662
• Release Date: December 2024
• Publisher: de Gruyter
• Length: 170 Pages
• Weight: 0.62 lbs.
• Dimensions: 0.4" x 6.7" x 9.6"