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Computational Aspects of Machine Learning (IN2107, IN0014, IN2183)

Course 0000000672 in WS 2023/4

General Data

Course Type seminar
Semester Weekly Hours 2 SWS
Organisational Unit Informatics 5 - Chair of Scientific Computing (Prof. Bungartz)
Lecturers Erik Bolager
Iryna Burak
Responsible/Coordination: Hans-Joachim Bungartz
Dates Wed, 10:00–12:00, MI 02.07.023
and 1 singular or moved dates

Assignment to Modules

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks Machine Learning is a rapidly growing area of research on the intersection of applied mathematics, informatics, and computational science. With advances in machine learning theory, larger amounts of data, and increasing complexity of the models, the development of fast, efficient, and scalable algorithms increasingly gains importance. Hereby the range of applied techniques spreads from exploiting embarrassingly parallel tasks in a data-centric fashion to the approximate solution with satisfying error limits.In the seminar, we are going to focus on the advanced methods of machine learning with particular interest in handling large-scale problems. While some topics would deal with the complete learning algorithms, others would focus on the efficient solutions of subtasks common for many different algorithms, e.g., nearest neighbors search or MCMC sampling.Please fill out form on Moodle page before the 19th of July, ranking the topics and a small motivational statement.Moodle page: https://www.moodle.tum.de/course/view.php?id=90632Registering for this seminar: https://matching.in.tum.de
Links E-Learning course (e. g. Moodle)
TUMonline entry

Equivalent Courses (e. g. in other semesters)

SemesterTitleLecturersDates
WS 2022/3 Computational Aspects of Machine Learning (IN2107, IN0014, IN2183) Bolager, E. Ravi, K. Reiz, S.
Responsible/Coordination: Bungartz, H. 		Wed, 10:00–12:00, MI 02.07.023
WS 2021/2 Computational Aspects of Machine Learning (IN2107, IN0014, IN2183) Ashraf, H. Dietrich, F. Reiz, S.
Responsible/Coordination: Bungartz, H. 		Wed, 10:00–12:00, MI 02.07.023
WS 2020/1 Computational Aspects of Machine Learning (IN2107, IN0014, IN2183) Ashraf, H. Dietrich, F. Krenz, L. Reiz, S.
Responsible/Coordination: Bungartz, H. 		Wed, 10:00–12:00, MI 02.07.023
and singular or moved dates
WS 2019/20 Computational Aspects of Machine Learning (IN2107, IN0014, IN2183) Jovanovic Buha, I. Krenz, L. Reinarz, A. Reiz, S.
Responsible/Coordination: Bungartz, H.
WS 2018/9 Computational Aspects of Machine Learning (IN2107, IN0014, IN2183)
Responsible/Coordination: Bungartz, H.
WS 2017/8 Computational Aspects of Machine Learning (IN2107, IN0014, IN2183)
Responsible/Coordination: Bungartz, H.
WS 2016/7 Computational Aspects of Machine Learning (IN2107, IN0014, IN2183) Sarbu, P.
Responsible/Coordination: Bungartz, H.
WS 2015/6 Computational Aspects of Machine Learning (IN2107, IN0014, IN2183)
WS 2014/5 Computational Aspects of Machine Learning (IN2107, IN0014, IN2183)
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