Teaching Machine Learning & Statistics Online with MATLAB


Overview

You are an academic planning to introduce students to the concepts of machine learning?

Please join us for the upcoming webinar to explore how you use recent MATLAB Machine Learning and Statistics features in a remote virtual teaching environment. You get to know easily accessible cloud environments and interactive online trainings that will let you provide your students with excellent remote classes.

Highlights

  • Cloud infrastructures for teaching Machine Learning
  • Practical examples of industrial applications in signal processing, computer vision, predictive maintenance and algorithmic trading
  • Interactive tools for algorithm experimentation
  • Project-based machine learning
  • Complementary resources for self-paced learning.

Who Should Attend

This webinar is aimed at Professors, PhD students & Post-Docs who are interested in Teaching Machine Learning & Statistics Online.

About the Presenter

Dr. Francesco Ciriello is an Education Customer Success Engineer at MathWorks. He received his PhD from the University of Cambridge in 2018 in experimental fluid dynamics, where he focused on using advanced image processing techniques for flow measurements. He now works closely with UK universities on teaching and research using MathWorks tools.

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