2024/2025
Современные методы анализа данных: машинное обучение
Статус:
Маго-лего
Когда читается:
1 модуль
Онлайн-часы:
60
Охват аудитории:
для своего кампуса
Преподаватели:
Саночкин Юрий Ильич
Язык:
английский
Кредиты:
3
Course Syllabus
Abstract
In this course, students are introduced to the main types of machine learning problems. Simple and multiple linear regression, evaluation of the quality of the obtained models, interpretation of the importance of features are considered. The solution of the classification problem is also discussed: algorithms such as Logistic Regression, Support Vector Machine and Decision Trees are considered. In addition, students gain insight into model ensembles.