Signal Processing for Machine Learning and Deep Learning


Using real-data we will explore the following topics:

  • Feature detection and extraction techniques for machine learning workflows
  • Developing predictive models for signals using Deep Learning workflows
  • Leverage high-performance computing resources, such as multicore computers, GPUs, computer to scale up the performance

About the Presenter

Kirthi K. Devleker is a Product Manager at MathWorks focusing on Signal Processing and Wavelets Toolbox. Kirthi specializes in helping MATLAB users see the value of advanced Signal Processing and Machine Learning techniques applied to sensor data across multiple industry verticals such as medical, aero-defense and other industries. He has been with MathWorks for 8 years; and has a Masters in Electrical Engineering from San Jose State University.

Recorded: 17 Oct 2018