Hands-On Workshop

Machine Learning with MATLAB
18 Sept 2020
Online via ZOOM

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About The Event

Are you new to machine learning and want to learn how to apply these techniques in your work?

Machine learning is a data analytics technique that teaches computers to do what comes naturally to humans and animals: learn from experience. Machine learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model.

Using MATLAB, engineers and other domain experts have deployed thousands of applications for predictive maintenance, sensor analytics, finance, and communication electronics.


Event Date

Date: 18 Sept 2020    |      Time: 2:00pm - 5:00pm

*Open for Commercial Sector Only



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In this hands-on workshop, you will write code and use MATLAB to:
  • Learn the fundamentals of machine learning and understand terms like “supervised learning”, “feature extraction”, and “hyperparameter tuning”
  • Build and evaluate machine learning models for classification and regression
  • Perform automatic hyperparameter tuning and feature selection to optimize model performance
  • Apply signal processing and feature extraction techniques
  • Generate automated C/C++ code for embedded and high-performance applications (demonstration only)

No installation of MATLAB is necessary. Participants are advise to use windows PC to attend our workshop. The Remote Desktop Protocol on Azure cloud will be provided on the day of the event. 


Terms and Conditions:

  • This workshop is exclusive for new sign-ups from commercial sector with complete details given.  Web-based emails or incomplete particulars will not be accepted.
  • Due to the limited availability of seats, early registration is strongly recommended to ensure your participation.
  • Registration will be confirmed upon your receipt of the confirmation, on a first-come-first-serve basis.
  • Should you wish to cancel your registration, please inform us in writing to events@techsource-asia.com
  • TechSource reserves the right to reschedule or cancel the event due to unforeseen circumstances. Every effort, however, will be made to inform participants of the change.


The Trainers

Kevin Chng
Kevin Chng
Application Engineer
Sruthi Geetha
Sruthi Geetha
Customer Success Engineer
Siti Safwana
Application Engineer

Register Now (Commercial Only)

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