Course · ANL7305
Machine Learning and Computer Statistics
Course information
- Course code
- ANL7305
- Credits (ECTS)
- 5
- L + S + Lab
- 0 + 0 + 0
- Year / semester
- Year 2 / semester 3
- Level of course
- Master's degree
- Component
- Elective component (EC)
- Cycle
- BD
- Final assessment
- Examination
- Educational programme
- 7M06101 Software Engineering
- Curriculum
- Программная инженерия (2025-2027)
Course description
The course includes topics such as supervised learning (linear learning models, neural networks, reference vector machines); teaching without a teacher (clustering, reduction of dimension); learning theory (CV theory; large fields). It discusses modern areas of application of machine learning, such as robotic control, data mining, autonomous navigation, speech recognition, as well as text and web data processing.
Source: Platonus, working curriculum for the 2026–2027 academic year.
← Programme curriculum