2023/2024
Теория вычислительного обучения
Статус:
Дисциплина общефакультетского пула
Когда читается:
1 модуль
Онлайн-часы:
52
Охват аудитории:
для своего кампуса
Язык:
английский
Кредиты:
3
Контактные часы:
10
Course Syllabus
Abstract
Our course aims at introducing machine learning and its paradigms. We will provide basic tools and concepts for theoretical justification of reliability of statistical learning including the concentration of measure phenomenon, empirical process theory, VC-dimension, and Rademacher’s complexity. These tools will be then applied to the analysis of popular algorithms in supervised and unsupervised learning. It is supposed that students have a solid background in calculus, linear algebra, and probability theory in order to fluently follow the course.