Overview
Key facts
- The Machine Learning Theory and Application programme offered at Peter the Great St. Petersburg Polytechnic University (SPbPU) 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.
Programme Structure
Courses include:
- Supervised and unsupervised learning
- Overfitting and underfitting
- Regularization in ML
- Model Validation metrics and tactics
- Machine learning algorithms classification
Lecturers
Key information
Duration
- Part-time
- 12 days
Start dates & application deadlines
- Starting
- Apply before
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Language
Credits
Delivered
Campus Location
- Saint Petersburg, Russia
Disciplines
General Engineering & Technology Machine Learning View 5 other Short Courses in General Engineering & Technology in RussiaWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Elementary knowledge of programming skills;
- Knowledge of basics of matrix operations and differentiation;
- Good command of English. All classes and extracurricular activities are carried out in English. Knowledge of the Russian language is not required;
- Applicants are expected to have at least 1 year of University level studies.
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Tuition Fees
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International Applies to you
Applies to youNon-residents50000 RUB / full≈ 50000 RUB / full -
Domestic Applies to you
Applies to youCitizens or residents50000 RUB / full≈ 50000 RUB / full
Living costs
Saint Petersburg
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.