Using the AI on-demand platform in HumaneAINet
A 30-minute video tutorial showing how researchers can publish their results on the AI4EU AI on-demand platform
Welcome to the Education Catalog! Here you can browse, search and access all the AI education resources currently indexed in the AI4EU AI-on-demand platform, including distance courses, onsite courses, and more.
You are welcome to publish your own educational resources here! To do so, log in to the platform (click on the arrow icon at the upper right corner), go to your dashboard (click on the user icon), and use the "Submit new content" button to access the submission forms.
A 30-minute video tutorial showing how researchers can publish their results on the AI4EU AI on-demand platform
A tutorial from the AI in the Industry course from University of Bologna, covering method for Remaining Useful Life estimation and the design of predictive maintenance policies
A tutorial from the AI in the Industry course from University of Bologna, covering neural network based methods for anomaly detection
A tutorial from the AI in the Industry course from University of Bologna, covering interpolation methods for filling missing values in a time series
This is a recording of a 1 hour tutorial lecture given (in english) to the French IHM (Interaction Homme Machine) conference in December 2019.
Course notes and Zoom lecture recording of a 4 hour tutorial on machine learning with Neural Networks presented at the Advanced Course on Artificial Intelligence, ACAI 2021, in October 2021.
This module aims at introducing the audience to the key concepts and applications in artificial intelligence. The audience will be introduced to different aspects of the application of AI and foundational pillars in artificial intelligence.
A tutorial on the Moving Targets algorithm for constrained Machine Learning
A tutorial series from the AI in the Industry course from University of Bologna. This part covers sliding window processing in anomaly detection use cases.
A tutorial series from the AI in the Industry course from University of Bologna. This part covers anomaly detection via density estimation.