2025/2026
Машинное обучение
Статус:
Маго-лего
Онлайн-часы:
40
Охват аудитории:
для своего кампуса
Язык:
русский
Контактные часы:
8
Программа дисциплины
Аннотация
Machine learning is implemented within the field of statistical learning theory and is basically drawn from statistics and functional analysis. The goal of the course is to study, in a statistical framework, the properties of learning algorithms. This study serves a two-fold purpose. On one hand it provides strong guarantees for existing algorithms, and on the other hand suggests new algorithmic approaches that are potentially more powerful. In this course we will go in detail into the theory and methods of statistical learning, and in particular complexity regularization (i.e., how do you choose the complexity of your model when you have to learn it from data). This issue is at the heart of the most successful and popular machine learning algorithms today, and it is critical for their success. This course is an elective course and is implemented both with R and Python.