St. Petersburg, Russia

Machine Learning Theory and Application

The course introduces students to the theoretical foundations of machine learning and data science, as well as to the solution of real business problems with the help of computer vision, classification and regression algorithms. The optimal balance between theory and practice provides both a good foundation and the ability to apply knowledge in practice.

Online lectures will be delivered synchronized as live talk with professors and groupmates. Records of classes will be available on SPbPU platform for 1 month after the course end.

Course leader

Ogul Unal - PhD, Institute of Computer Science and Technology, SPbPU; M-com Search Engine Optimization specialist”;
Nikita Kudryashov – PhD, Institute of Computer Science and Technology, SPbPU; Gazprom-neft leading specialist.

Target group

The course is opened for Bachelor and Master Degree students.

Entrance requirements:

- Good command of English is required. All classes and extracurricular activities are carried out in English. Knowledge of the Russian language is not required.
- Applicants must be 18 years of age or older.
- Applicants are expected to have at least 1 year of University level studies.

Fee info

EUR 270: The fee covers studying process, materials, issuance of certificate with ECTS credits and its hard copy mailing upon student’s request.