Low-Code AI in MATLAB

Learn how you can apply AI in your field without extensive knowledge in programming. This hands-on session includes a quick recap on the fundamentals of AI and three exercises where you will learn how to classify human activities using MATLAB® interactive tools and apps:

1. Accessing and preprocessing data acquired from a mobile device
2. Applying clustering to the unlabeled data using the Cluster Data Live Editor Task
3. Classifying the labeled data using two apps: Classification Learner app and the Deep Network Designer app

At the end of the workshop, you will be able to design and train different machine learning and deep learning models without extensive programming knowledge. You will also learn how to automatically generate code from the interactive workflow. This will not only help you to reuse the models without manually going through all the steps but also to learn programming or advance your coding skills.

Presenter(s):
Dr. Evan Cosgrove, Mathworks

Registration link: 
https://ucf.qualtrics.com/jfe/form/SV_2fQ7fWfi9Htc9IG

Research Computing and Data Workshops Series
We are pleased to bring to the UCF Research community a series of workshops on scientific computing and research data management. These workshops are being jointly presented by UCF Libraries, UCF Graduate and Research IT, and UCF Advanced Research Computing Center (ARCC) and will feature some guest speakers from the broader research community. This series also includes Software and Data Carpentries workshops (http://carpentries.org) which have been made possible through the sponsorship of Office of Research.

Upcoming Workshops
For the complete line-up of upcoming Research Computing and Data Workshops, please visit: https://rci.research.ucf.edu/workshops

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