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Магистерская программа «Современный социальный анализ»

Machine Learning

2022/2023
Учебный год
ENG
Обучение ведется на английском языке
3
Кредиты
Статус:
Курс обязательный
Когда читается:
2-й курс, 1 модуль

Преподаватель

Course Syllabus

Abstract

Rapid developments of social networking sites, online media and other internet-generated data are making machine learning an essential analytical tool of social scientists and industrial analysts of social data. Nowadays, social researchers should not only be able to work with different types of data, such as textual or relational data, but should also have skills to interpret results obtained with complex mathematical algorithms. In this course, students will first get to know basic machine learning algorithms and their main advantages and limitations for social science goals. Second, they will obtain skills to work with machine learning software / codes. Third, by the end of the course all students will produce small-scale research project that may be used in their Master theses. This course focuses on the use of machine learning algorithms in the python and Jupyter Notebook.