Machine Learning in Transportation - (De Gruyter Textbook) by Niharika Dayyala & Nivedya Madankara Kottayi & Rajib Basu Mallick (Paperback)
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About this item
Highlights
- The book introduces the reader to machine learning in transportation.
- About the Author: Niharika Dayyala, Illinois State Uni.
- 170 Pages
- Technology, Mechanical
- Series Name: de Gruyter Textbook
Description
About the Book
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 minBook Synopsis
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.
Dimensions (Overall): 9.61 Inches (H) x 6.69 Inches (W) x .37 Inches (D)
Weight: .62 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 170
Genre: Technology
Sub-Genre: Mechanical
Series Title: De Gruyter Textbook
Publisher: De Gruyter
Format: Paperback
Author: Niharika Dayyala & Nivedya Madankara Kottayi & Rajib Basu Mallick
Language: English
Street Date: December 30, 2024
TCIN: 1004205740
UPC: 9783110788662
Item Number (DPCI): 247-35-8769
Origin: Made in the USA or Imported
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Shipping details
Estimated ship dimensions: 0.37 inches length x 6.69 inches width x 9.61 inches height
Estimated ship weight: 0.62 pounds
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