PřF:E6020 Advanced Machine Learning

E6020 Advanced Machine Learning

Faculty of Science
Spring 2027

Extent and Intensity: 1/1/0. 2 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: z (credit).
Teacher(s): doc. Ing. Vlad Calin Popovici, PhD (lecturer)
Guaranteed by: doc. Ing. Vlad Calin Popovici, PhD
RECETOX – Faculty of Science
Contact Person: doc. Ing. Vlad Calin Popovici, PhD
Supplier department: RECETOX – Faculty of Science
Prerequisites (in Czech): E1234 Programming in Python && M1110 Linear Algebra I && M1110B Linear Algebra I && M2110 Linear Algebra II && M2110B Linear Algebra II && M1100 Mathematical Analysis I && M1100B Mathematical Analysis I && M2100 Mathematical Analysis II && M2100B Mathematical Analysis II && M3121 Probability and Statistics I && M4122 Probability and Statistics II && E0034 Analysis & classif. data && E8600 Multivariate Methods
Course Enrolment Limitations: The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with: there are 8 fields of study the course is directly associated with, display
Language of instruction: English
Further Comments: The course is taught annually.
The course is taught every week.