Building AI Models for High-Frequency Streaming Data
This video series is in the Embedded Software section of our Series Library.
Heather Gorr, PhD is Senior MATLAB Product Manger, Data Science at MathWorks. She focuses on data analytics, including file I/O, data preprocessing, mathematics, data structures, and big data.
In this video series, she presents aspects of building AI Models for high-frequency streaming data.
- Part 1: Planning Ahead, Data Stream Basics
- Part 2: Synchronizing Sensor Data
- Part 3: Simulation and Signal Processing
- Part 4: AI Modeling Approach for High-Frequency Streaming Data
- Part 5: Delivering Tested AI Models for Streaming Data
Links
About the Author
Heather Gorr, PhD
Senior Product Marketing Manager for MATLAB
Heather Gorr holds a Ph.D. in Materials Science Engineering from the University of Pittsburgh and a Masters and Bachelors of Science in Physics from Penn State University. Since 2013, she has supported MATLAB users in the areas of mathematics, data science, deep learning, and application deployment. She currently acts a Senior Product Marketing Manager for MATLAB, leading technical marketing content in data science, AI, deployment, and advanced MATLAB and Python programming. Prior to joining MathWorks, she was a Research Fellow, focused on machine learning for prediction of fluid concentrations.
Heather is also a musician and is the lead singer, songwriter, and guitar player for several bands. She is a current student at Berklee College of Music Online, pursuing Advanced Music Production.