350,18 €
389,09 €
-10% with code: EXTRA
Machine Learning for Transportation Research and Applications
Machine Learning for Transportation Research and Applications
350,18
389,09 €
  • We will send in 10–14 business days.
Transportation issues are often too complicated to be addressed by conventional parametric methods. Increasing data availability and recent advancements in machine learning provide new methods to tackle the challenging transportation problems. Readers will learn how to develop and apply different types of machine learning models to transportation related problems. Example applications include transportation data generations, traffic sensing, transportation mode recognition, transportation syste…
  • Publisher:
  • ISBN-10: 0323961266
  • ISBN-13: 9780323961264
  • Format: 15.2 x 22.9 x 1.4 cm, softcover
  • Language: English
  • SAVE -10% with code: EXTRA

Machine Learning for Transportation Research and Applications (e-book) (used book) | bookbook.eu

Reviews

Description

Transportation issues are often too complicated to be addressed by conventional parametric methods. Increasing data availability and recent advancements in machine learning provide new methods to tackle the challenging transportation problems. Readers will learn how to develop and apply different types of machine learning models to transportation related problems. Example applications include transportation data generations, traffic sensing, transportation mode recognition, transportation system management and control, traffic flow prediction, and traffic safety analysis.

EXTRA 10 % discount with code: EXTRA

350,18
389,09 €
We will send in 10–14 business days.

The promotion ends in 19d.14:27:43

The discount code is valid when purchasing from 10 €. Discounts do not stack.

Log in and for this item
you will receive 3,89 Book Euros!?
  • Author: Yinhai Wang
  • Publisher:
  • ISBN-10: 0323961266
  • ISBN-13: 9780323961264
  • Format: 15.2 x 22.9 x 1.4 cm, softcover
  • Language: English English

Transportation issues are often too complicated to be addressed by conventional parametric methods. Increasing data availability and recent advancements in machine learning provide new methods to tackle the challenging transportation problems. Readers will learn how to develop and apply different types of machine learning models to transportation related problems. Example applications include transportation data generations, traffic sensing, transportation mode recognition, transportation system management and control, traffic flow prediction, and traffic safety analysis.

Reviews

  • No reviews
0 customers have rated this item.
5
0%
4
0%
3
0%
2
0%
1
0%
(will not be displayed)