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Regular version of the site

Machine Learning for a Model Construction

2024/2025
Academic Year
RUS
Instruction in Russian
3
ECTS credits
Course type:
Compulsory course
When:
1 year, 4 module

Программа дисциплины

Аннотация

The course introduces the students to mathematical modeling using machine learning techniques, including supervised and unsupervised methods such as linear and logistic regressions, decision trees, bootstrapping, random forests, boosting, regularized methods and several topics in deep learning, such as artificial neural networks, convolutional neural networks, transformers and auto-encoders, etc. The course uses Google Colaboratory, GitHub Classroom, and DataCamp products and services and aims to raise practical skills in using machine learning methods to solve typical problems of mathematical modeling.