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MATLAB workshop

June 2, 2022 @ 10:30 am - 2:30 pm

MathWorks, the makers of MATLAB, will conduct a two-part workshop

Thursday, June 2, 2022.
Integrative Learning Center, Room S331

Introduction to MATLAB (1.5 hours)
Machine Learning with MATLAB (1.5 hours)

Introduction to MATLAB (1.5 hours)
10:30am-12:00pm

In this session, you will learn how MATLAB can be used to visualize and analyze data, perform numerical computations, and develop algorithms. Through live demonstrations and examples, you will see how MATLAB can help you become more effective in your work. Bring your own laptop or tablet. No prior installation needed.
Highlights include:

  • Accessing data from many sources (files, other software, hardware, etc.)
  • Using interactive tools for iterative exploration, design, and problem solving
  • Automating and capturing your work in easy-to-write scripts and programs
  • Building and deploying interactive applications
Machine Learning with MATLAB (1.5 hours)
1:00pm-2:30pm

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.
In this hands-on workshop, you will use MATLAB to apply Machine Learning techniques to Signal data:
  • Learn the fundamentals of machine learning  (supervised learning, feature extraction, and hyperparameter tuning)
  • Build and evaluate machine learning models for classification and regression of signals
  • Perform automatic hyperparameter tuning and feature selection to optimize model performance
  • Learn how to deploy Machine Learning models

Details

Date:
June 2, 2022
Time:
10:30 am - 2:30 pm
Event Category:

Organizer

Paul Katz
Phone:
413-545-0486
Email:
pkatz@umass.edu
Website:
http://www.bio.umass.edu/biology/about/directories/faculty/paul-s-katz

Venue

Integrative Learning Center, Room S331
650 N Pleasant St
Amherst, MA 01003 United States
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