Date Tags Event

Date: 25 August 2015

Time: 2.30pm – 3.30pm

Session Format: Presentation

Venue: CB11.06.408

Machine learning is being used to solve interesting problems in many fields: autonomous navigation, fraud detection, animal conservation, health care, energy forecasting. But many machine learning algorithms are complicated to implement, so how can you start using these algorithms on your applications?

In this session, Matt will show how the MATLAB® environment makes it easy to apply machine learning algorithms to your data. Attend this session to learn how to use functionality in Statistics and Machine Learning Toolbox™ and Neural Network Toolbox™ to:

  • Find natural patterns in your data
  • Build predictive models
  • Evaluate, interpret, and improve your models

Speaker Bio:

Matt Tearle is a training content developer for MathWorks USA. He develops instructional material on MATLAB for technical computing and data analysis. Prior to joining MathWorks, Matt taught applied mathematics and computing and the University of Colorado, Boulder, where he received his PhD in computational fluid dynamics in 2004. Matt has been using MATLAB since 1992, when he was an undergraduate at the University of Auckland. A true-born Cantabrian, he still supports the Crusaders.

RSVP: 5PM Tuesday August 18, 2015 to Matthew.Gaston@uts.edu.au