Data Acquisition and Machine Learning Using MathWorks and NI Tools Eric Wetjen – Product Marketing Manager for T&M at MathWorks
Kristoffer Iversen - Senior Product Marketer for Data Acquisition at NI When you develop algorithms for Machine Learning, you need to utilize real-world data to train your model. In this session, we will show how you can acquire data from NI data acquisition hardware, directly in MATLAB, to develop and verify your model faster. In our demo, we will acquire live data using the Data Acquisition Toolbox and classify materials based on vibration characteristics. Once th e model is developed, validation and production teams need to be able to use it in their setups, often using LabVIEW, so we provide a brief overview of how this is accomplished to bring research, validation, and production teams closer using MathWorks and NI Tools. |