Магистратура
2021/2022
Современные технологии обработки статистических данных
Статус:
Курс по выбору (Статистический анализ в экономике)
Направление:
38.04.01. Экономика
Кто читает:
Департамент статистики и анализа данных
Где читается:
Факультет экономических наук
Когда читается:
2-й курс, 1, 2 модуль
Формат изучения:
без онлайн-курса
Охват аудитории:
для своего кампуса
Преподаватели:
Князев Николай Александрович,
Милков Максим Леонидович
Прогр. обучения:
Статистический анализ в экономике
Язык:
английский
Кредиты:
6
Контактные часы:
56
Course Syllabus
Abstract
Data mining is a rapidly developing field which focuses on efficiently retrieving useful information from the data for prediction and description purposes. In this course students will be introduced to modern methods for identification of patterns and regularities in large datasets. Supervised and unsupervised learning techniques will be studied, including those for classification, regression, clustering and other common machine learning problems. Covered methods for example include ensemble methods such as random forests. Data preprocessing, feature selection and performance evaluation will also be discussed. Students will gain teamwork research experience as well as skills in implementing data mining algorithms using software for statistical computing, such as R. A wide range of applications will be considered, including text mining, image recognition, forecasting in finance and medicine.