Teaching Novices Supervised Learning with Autonomous Model Vehicles
Autor: | Andreas Rausch, Andreas Vorwald, Tim Warnecke, Jorg Grieser, Meng Zhang |
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Rok vydání: | 2020 |
Předmět: |
business.industry
Computer science Supervised learning 06 humanities and the arts 02 engineering and technology 0603 philosophy ethics and religion Work (electrical) Human–computer interaction 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 060301 applied ethics Software engineering business Rapid testing |
Zdroj: | CSEE&T |
DOI: | 10.1109/cseet49119.2020.9206215 |
Popis: | Most people have trouble assessing artificial intelligence. They cannot decide without a sound education what are the applicabilities and limitations of this technology and how to use it. In this publication we present a workshop program, which allows even novices to understand and implement the most fundamental concepts of supervised learning within a short time. The participants of the workshop are motivated by a combination of lecture, configuration work on a computer, and rapid testing on real model vehicles. The workshop presented here has already been held four times and was rated as very positive and instructive by all 48 participants. |
Databáze: | OpenAIRE |
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