Uncertain Knowledge and Reasoning in Artificial Intelligence

Created by: Andreas Haja

Produced in 2018

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Course Description

From stock investment to autonomous vehicles: Artificial intelligence takes the world by storm. In many industries such as healthcare, transportation or finance, smart algorithms have become an everyday reality. To be successful now and in the future, companies need skilled professionals to understand and apply the powerful tools offered by AI. This course will help you to achieve that goal.This practical guide offers a comprehensive overview of the most relevant AI tools for reasoning under uncertainty. We will take a hands-on approach interlaced with many examples, putting emphasis on easy understanding rather than on mathematical formalities.

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Instructor Details

Andreas Haja

The instructor is an industry expert for autonomous driving, sensors and computer vision with more than 10 years of professional experience in the automotive space. With Volkswagen, he was a project manager for advanced driver assistance systems and sensor technologies, including cameras, radar and LiDAR. Prior, he worked for Bosch as a computer vision research engineer. In most of his projects, artificial intelligence played a central role. In 2014, the instructor was appointed professor at a university in Northern Germany where he researches and teaches at the faculty of engineering.

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