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Overview
Key Facts
The Machine Learning Theory and Application course 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
The following topics will be covered:
- Brief History rewiew and state of the art;
- Supervised and unsupervised learning;
- Overfitting and underfitting;
- Regularization in ML;
- Model Validation techniques;
- Machine learning algorithms classification;
- Data processing techniques
Lecturers
Key information
Duration
- Part-time
- 12 days
Start dates & application deadlines
- Starting
- Apply before
-
Language
English
Credits
4 ECTS
Delivered
Online
Disciplines
Computer Sciences Machine LearningWhat students do after studying
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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.
Tuition Fee
To always see correct tuition fees
-
International
50000 RUB/fullTuition FeeBased on the tuition of 50000 RUB for the full programme during 12 days. -
National
50000 RUB/fullTuition FeeBased on the tuition of 50000 RUB for the full programme during 12 days.
Funding
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