Nitin Rai, MathWorks
Machine learning is a powerful tool for solving complex modeling problems across a broad range of industries. The benefits of machine learning are being realized in applications everywhere, including predictive maintenance, health monitoring, financial portfolio forecasting, and advanced driver assistance. However, developing predictive models for signals obtained from sensors is not a trivial task. Moreover, there is an increasing need for developing smart sensor signal processing algorithms, which can be either deployed on edge nodes and embedded devices or on the cloud, depending on the application. MATLAB® and Simulink® provide a platform for exploring and analyzing time-series data and a unified workflow for the development of embedded software by providing a workflow from prototyping to production, including C code generation, processor-in-the-loop testing, and rapid prototyping on popular hardware platforms.
In this this talk, you will learn about: