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.
Machine Learning in Transportation Applications with Examples and Codes 1st Edition
Author(s): Niharika Dayyala; Nivedya Madankara Kottayi; Rajib Basu Mallick
Publisher: De Gruyter
ISBN: 9783110788662
Edition: 1st Edition
$39,99
Delivery: This can be downloaded Immediately after purchasing.
Version: Only PDF Version.
Compatible Devices: Can be read on any device (Kindle, NOOK, Android/IOS devices, Windows, MAC)
Quality: High Quality. No missing contents. Printable
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