====== A4M33SAD — Machine Learning and Data Analysis ======

===== Annotation =====

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.



===== Information =====
The lectures are given in English for all students.

  * Lecturers: [[http://labe.felk.cvut.cz/~klema/|Jiří Kléma]], [[http://labe.felk.cvut.cz/~zelezny/|Filip Železný]]
  * Course Assistants: Jiří Kléma, Filip Železný, Gustav Šourek, Radomír Černoch, Karel Jalovec
  * [[https://cw.felk.cvut.cz/doku.php/courses/a4m33sad/evaluation|Requirements and evaluation]].
  * [[https://cw.felk.cvut.cz/doku.php/courses/a4m33sad/program|Program and content of lectures and tutorials]].
  * [[https://cw.felk.cvut.cz/doku.php/courses/a4m33sad/exam|Exam]].
===== Links =====

  * [[https://www.fel.cvut.cz/cz/education/rozvrhy-ng.B151/public/cz/predmety/12/58/p12586004.html|Class schedule]].
  * [[http://www.fel.cvut.cz/education/bk/predmety/12/58/p12586004.html|Course syllabus]].
  * [[https://cw.felk.cvut.cz/forum/viewforum.php?id=94|Discussion forum]].