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OverviewThe 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. Full Product DetailsAuthor: Niharika Dayyala , Nivedya Madankara Kottayi , Rajib Basu MallickPublisher: De Gruyter Imprint: De Gruyter Weight: 0.299kg ISBN: 9783110788662ISBN 10: 3110788667 Pages: 170 Publication Date: 30 December 2024 Audience: College/higher education , Tertiary & Higher Education Format: Paperback Publisher's Status: Active Availability: Available To Order We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationNiharika Dayyala, Illinois State Uni., Nivedya M. Kottayi, San Diego Association of Governments, Rajib B. Mallick, Uni. of Texas, USA. Tab Content 6Author Website:Countries AvailableAll regions |
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