Summer term 2023
Vorlesungszeit: 17.04.2023 - 22.07.2023.
| 19303701/2: VL/Ü Künstliche Intelligenz (Lecture and Tutorial) | ||
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| The course will introduce the basic ideas and techniques underlying the design and learning of intelligent machines. By the end of this course, you will have learned how to build autonomous (software) agents that efficiently make decisions in fully informed, partially observable and adversarial settings as well as how to optimize actions in uncertain sequential decision making environments to ... | ||
| Time | Apr 20, 2023 - Jul 20, 2023 Lecture: Thursday 12-2 pm. Lecture room Arnimallee 3 Tutorial: Tuesday 12-2 pm. SR006 Takustr. 9 | |
| 19333912: Softwareprojekt: Lab Machine Learning for Data Science (Softwareprojekt) | ||
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| The course will consist of applying machine learning techniques for extracting domain insights from real-world or simulated datasets. It will take the form of multiple lab exercises in Python, where the students will extract data, apply visualization techniques, train machine learning models on this data, use model selection/validation techniques, and finally apply interpretability techniques to ... | ||
| Instructor | Prof. Dr. Grégoire Montavon | |
| Time | Apr 20, 2023 - Jul 20, 2023 Thursday, 2-4 p.m. | |
| 19334011: Explainable AI for Decision Making (Seminar) | ||
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| Explainable AI is a recent and growing subfield of machine learning (ML) that aims to bring transparency into ML models without sacrificing their predictive accuracy. This seminar will explore current research on the use of Explainable AI for building models whose decisions are more trustworthy. Techniques to verify existing models and to correct flaws identified by the user from explanations ... | ||
| Instructor | Prof. Dr. Grégoire Montavon | |
| Time | Apr 19, 2023 - Jul 19, 2023 Wednesday 2-4 pm. | |