Winter term 2021/2022
| 19330101 (V) /19330102 (Ü): Machine Learning for Data Science (VL/Ü) | ||
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| The course provides an overview of machine learning methods and algorithms for different learning tasks, namely supervised, unsupervised and reinforcement learning. In the first part of the course, for each task the main algorithms and techniques will be covered including experimentation and evaluation aspects. In the second part of the course, we will focus on specific learning challenges ... | ||
| Time | Oct 27, 2021 - Feb 17, 2022 Lecture: Wednesday (4-6 a.m., lecture room Takustr. 9) and Thursday (12-2 a.m., lecture room Arnimallee 3) Tutorial: Tuesday (12-2 a.m. and 2-4 a.m.), Takustr. 9, SR005. | |
| 19331916: Artificial Intelligence and Machine Learning (Research Seminar) | ||
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| The seminar takes place on a regular basis (weekly) with the aim to exchange information and ideas on AI and ML related topics. Many sessions take place in the form of a reading group, where we discuss the selected paper(s) on topics related to AI and ML. Everyone should read the paper(s) before the meeting to be able to actively participate in the discussions. Sometimes we have talks by ... | ||
| Time | Oct 21, 2021 - Feb 17, 2022 Thursday, 10-12, online per WebEx. Access data see Whiteboard. | |
| 19332311: Beyond machine learning: Exploring cognitive approaches to AI (Seminar) | ||
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| Description Over the course of the last decade, machine learning has transformed not only AI as a field, but also many sectors of the economy. It is being successfully applied in predictive maintenance, smart grids, and vaccine development. Yet, ML has its limits. ML agents cannot be imaginative. They cannot perform well without a large quantity of high-quality data. And they cannot infer ... | ||
| Time | Oct 19, 2021 - Feb 15, 2022 Thursday 4-6 a.m. Online teaching via WebEx. The admission data will be published in Whiteboard. | |