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Machine Learning in Transportation (Applications with Examples and Codes)
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$97.99
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Product Details
Author:
Niharika Dayyala, Nivedya Madankara Kottayi, Rajib Basu Mallick
Format:
Paperback
Pages:
170
Publisher:
De Gruyter (December 30, 2024)
Language:
English
Audience:
College/higher education
ISBN-13:
9783110788662
ISBN-10:
3110788667
Dimensions:
6.69" x 9.45"
File:
TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20260510163321-20260510.xml
Folder:
TWO RIVERS
List Price:
$97.99
Country of Origin:
Germany
Pub Discount:
60
Series:
De Gruyter Textbook
As low as:
$84.27
Publisher Identifier:
P-PER
Discount Code:
C
Weight:
9.92oz
Imprint:
De Gruyter
Overview
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.
