A4M33SAD — Machine Learning and Data Analysis

The course explains advanced methods of machine learning helpful for getting insight into data by automatically discovering interpretable data models such as graph- and rule-based. Emphasis is given to the modeling of multi-relational data. The course will also address a theoretical framework explaining why/when the explained algorithms can in principle be expected to work.

The lectures are given in English for all students.

• Lecturers: Jiří Kléma, Filip Železný
• Course Assistants: Jiří Kléma, Filip Železný, Gustav Šourek, Radomír Černoch, Karel Jalovec
• Requirements and evaluation.
• Program and content of lectures and tutorials.
• Exam.

• Class schedule.
• Course syllabus.
• Discussion forum.