Analyzing Fleet Test Data using MATLAB

Learn how MATLAB is used by automotive companies to turn large volumes of complex data into actionable information for design and decision-making processes.

Highlights include:

• Accessing and analyzing data stored in files, the web, and databases
• Extracting events from data for use in prognostics applications
• Speeding-up data analysis with parallel computing
• Prototyping and refining statistical models using machine learning methods
• Integrating and running analytics within enterprise business systems

Seth DeLand is product marketing manager at MathWorks for data analytics. Prior to joining MathWorks, Seth earned his BS and MS in mechanical engineering from Michigan Technological University.