Бакалавриат
2022/2023
Методы машинного обучения
Статус:
Курс обязательный (Информационная безопасность)
Направление:
10.03.01. Информационная безопасность
Когда читается:
4-й курс, 1, 2 модуль
Формат изучения:
с онлайн-курсом
Онлайн-часы:
32
Охват аудитории:
для всех кампусов НИУ ВШЭ
Преподаватели:
Перов Артём Андреевич
Язык:
английский
Кредиты:
6
Контактные часы:
60
Course Syllabus
Abstract
The discipline "Methods of machine learning " studies a class of artificial intelligence methods, the characteristic feature of which is not the direct solution of a problem, but learning in the process of applying solutions to many similar problems. The purpose of mastering the discipline "Methods of machine learning " is to familiarize students with the theoretical foundations and basic principles of machine learning - namely, with the classes of models (linear, logical, neural network), quality metrics and approaches to data preprocessing. Within the framework of the discipline, methods for testing statistical hypotheses, linear regression models, classification and clustering, ensembles and decision trees, neural network technologies of machine learning are studied. The discipline "Machine learning" provides the knowledge necessary for the subsequent passage of undergraduate practice and the preparation of the thesis. During the training, the control of students' knowledge in the form of homework, control, independent work and an exam is provided. Discipline with online course: Calculus and Optimization for Machine Learning - https://www.classcentral.com/course/calculus-and-optimization-for-machine-learning-17335