Machine Learning at Scale - Specialization
Specialization: Machine Learning at Scale
"Machine Learning at Scale" focuses on efficiently designing and implementing machine learning algorithms and systems and on methods for analysing data.
To fulfill the requirements for the specialization, the student must follow the requirements in the general curriculum for the programme such that at least 35 ECTS points are obtained among the recommended courses below.
Specializations are merely recommended ways of choosing the courses in the curriculum. Applicants are not admitted to a specialization but to the programme and it is possible to choose among all the courses in the curriculum following the directions given. However, if a specialization has been fulfilled the title of the specialization may be added to the diploma.
Recommended courses
Choose at least 35 ECTS among the following courses:
| 02282 | Algorithms for Massive Data Sets | 7.5 | point | Spring F1A (Mon 8-12) |
| 02289 | Algorithmic Techniques for Modern Data Models | 5 | point | Autumn E4B (Fri 8-12) |
| 02456 | Deep learning | 5 | point | Autumn E2A (Mon 13-17) |
| 02460 | Advanced Machine Learning | 5 | point | Spring F1B (Thurs 13-17) |
| 02471 | Machine learning for signal processing | 5 | point | Autumn E1B (Thurs 13-17) |
| 02476 | Machine Learning Operations | 5 | point | January |
| 02477 | Bayesian machine learning | 5 | point | Spring F2A (Mon 13-17) |
| 02582 | Computational Data Analysis | 5 | point | Spring F2B (Thurs 8-12) |
| 02613 | Python and High-Performance Computing | 5 | point | Spring F5A (Wed 8-12) |
| 02614 | High-Performance Computing | 5 | point | January |
| 02830 | Advanced Project in Digital Media Engineering | 10 | point | Autumn E5B (Wed 13-17) |
Addititional relevant courses
Although not part of the requirements for the specialization, the following courses may also be relevant for the student:
| 02249 | Computationally Hard Problems | 7.5 | point | Autumn E3A (Tues 8-12) |
| 02409 | Multivariate Statistics | 5 | point | Autumn E1A (Mon 8-12) |
| 02612 | Constrained Optimization | 5 | point | Spring F4A (Tues 13-17) |