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.
About the author
Niharika Dayyala, Illinois State Uni., Nivedya M. Kottayi, San Diego Association of Governments, Rajib B. Mallick, Uni. of Texas, USA.
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Language English ● Format EPUB ● Pages 170 ● ISBN 9783110788778 ● File size 8.4 MB ● Publisher De Gruyter ● City Berlin/Boston ● Published 2024 ● Edition 1 ● Downloadable 24 months ● Currency EUR ● ID 10054299 ● Copy protection Adobe DRM
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