|
![]() |
|||
|
||||
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: Nivedya Madankara Kottayi , Rajib B. MallickPublisher: De Gruyter Imprint: De Gruyter ISBN: 9783110788662ISBN 10: 3110788667 Pages: 180 Publication Date: 30 December 2024 Audience: College/higher education , Tertiary & Higher Education Format: Paperback Publisher's Status: Forthcoming Availability: Not yet available ![]() This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release. 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 |