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| ||'''Kickoff Meeting'''|| tba. || ||'''Seminar Days'''|| tba. || |
||'''Kickoff Meeting'''|| Monday 24th of April 14:15 MAR4.044. || ||'''Seminar Days'''|| Probably second week of June (5.06-9.06) || |
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| ||'''ISIS''' || tba. || | ||'''ISIS''' || https://isis.tu-berlin.de/course/view.php?id=33662 || |
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| This seminar takes a closer look at a mix of hot topics in machine learning including, but not limited to: Deep Learning, Explainable AI, Generative Models, Reinforcement Learning, Applications of Machine Learning. | This seminar takes a closer look at a mix of hot topics in machine learning including, but not limited to: Deep Learning, Generative Models, Reinforcement Learning, Applications of Machine Learning. |
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| Students will read, understand, evaluate and present selected research papers on machine learning methods. At the end of the semester, each student will present his/her topic in a 20 min talk (+ questions) in English. | Students will read, understand, evaluate and present selected research papers on machine learning methods. At the end of the semester, each student will present his/her topic in a 15 min talk (+ questions) in English. |
Block-Seminar "Hot Topics in Machine Learning"
The Hot Topics Seminar is an elective course in the module Machine Learning 2-X is worth 3 LP (3 ECTS credits).
In general, it is not possible to take the Hot Topics Seminar as a standalone course.
Dates and Informations
Kickoff Meeting |
Monday 24th of April 14:15 MAR4.044. |
Seminar Days |
Probably second week of June (5.06-9.06) |
Docent |
|
Language |
English |
ISIS |
This seminar takes a closer look at a mix of hot topics in machine learning including, but not limited to: Deep Learning, Generative Models, Reinforcement Learning, Applications of Machine Learning.
Students will read, understand, evaluate and present selected research papers on machine learning methods. At the end of the semester, each student will present his/her topic in a 15 min talk (+ questions) in English.