Summer term 2024
Vorlesungszeit: 15.04.2024-20.07.2024
| 19303701/2: VL/Ü Artificial Intelligence (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 ... | ||
| Instructor | Prof. Dr. Grégoire Montavon | |
| Time | Apr 16, 2024 - Jul 16, 2024 Lecture: Tuesday 4-6 pm. Takustr. 9, lecture hall Tutorial: Tuesday 12-2 pm. Takustr. 9, lecture hall | |
| 19333912: Softwareprojekt: Lab Machine Learning for Data Science | ||
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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 | |
| Registration | Module (right column) | |
| Time | Apr 19, 2024 - Jul 19, 2024 Friday, 2-4 pm, room K 036 | |
| 19334011: Seminar: Explainable AI for Decision Making | ||
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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 | |
| Registration | Modules , right column | |
| Time | Apr 17, 2024 - Jul 17, 2024 Wednesday, 2-4 p.m., Seminar room 031 in Arnimallee 7 | |