2024/2025

Машинное обучение для построения моделей

Статус: Маго-лего

Кто читает: Департамент прикладной математики

Когда читается: 4 модуль

Охват аудитории: для своего кампуса

Язык: русский

Кредиты: 3

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.