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Machine Learning for Transportation

Duration: 3 Days
Course Price: $1,795

Audience: Developers, architects, business analysts and managers in the transportation and related industries.

Objectives: • Learn to collect data for analysis • Visualize data for quick ideas • Extract insights with analytics • Get deeper insights with machine learning • Present your findings visually

Lab environment: Working installed tools will be provided in the cloud. Students will only need a browser and remote desktop connection.

Zero Install: There is no need to install software on students’ machines. After the course, the students will get all the materials, labs, and instructions on tools install for use in their work.

Audience: Developers, architects, business analysts and managers in the transportation and related industries.

Objectives: • Learn to collect data for analysis • Visualize data for quick ideas • Extract insights with analytics • Get deeper insights with machine learning • Present your findings visually

Lab environment: Working installed tools will be provided in the cloud. Students will only need a browser and remote desktop connection.

Zero Install: There is no need to install software on students’ machines. After the course, the students will get all the materials, labs, and instructions on tools install for use in their work.

Prerequisites: • Be technical and hands-on • Laptop

Course Outline:

Data

• Data collection

• Data cleaning with tools

• Business analytics

Basic data analytics

• Removing outliers • Finding trends

• Hotspotting alarms

• Looking at your firm’s data with business intelligence tools

Visualization

• Converting your data into graphs

• Tools for quick insights

• Coming up with suggestions

Machine learning

• Building resource optimization models

• Solving the models

• Linear programming

• Dynamic programming

• Gradient descent

Route optimization

• Iterative dynamic programming for large data sets

• Implementing the Pregel algorithm with multiple use cases

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