
eBook - ePub
Machine Learning in Transportation
Applications with Examples and Codes
- 170 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Machine Learning in Transportation
Applications with Examples and Codes
About this 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 mining. The book prepares students to manage data, visualize data and apply appropriate machine learning techniques on transportation datasets to derive important insights.
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Yes, you can access Machine Learning in Transportation by Niharika Dayyala,Nivedya Madankara Kottayi,Rajib Basu Mallick in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & IT Industry. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Title Page
- Copyright
- Contents
- Chapter 1 Introduction to machine learning
- Chapter 2 Preliminary steps for machine learning
- Chapter 3 Predictive performance evaluation
- Chapter 4 Supervised learning models
- Chapter 5 Unsupervised learning model
- Chapter 6 Deep learning
- Chapter 7 Text mining
- Index