Machine learning in transportation applications with examples and codes
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, vis...
| Main Authors: | , , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Berlin ;, Boston :
De Gruyter
[2025]
©2025 |
| Series: | Graduate
|
| Subjects: | |
| Location: |
UNIZA |
