Машинное обучение

Бакалавриат 2026/2027

ID 1201638

Статус: Курс обязательный (Бизнес-информатика)

Кто читает: Департамент бизнес-информатики

Где читается: Высшая школа бизнеса

Когда читается: 2-й курс, 4 модуль

Охват аудитории: для своего кампуса

Язык: русский

Кредиты: 3

Контактные часы: 48

Дополнительные материалы в LMS Задать вопрос

Аннотация

It is said that automation increases productivity, which in turn drives global economy and helps to improve quality of life. For the last decade machine learning remains one of the key sources of automation in nearly all industries. This course familiarizes students with modern machine learning algorithms by both providing theoretical basis and hands-on experience with Python libraries.

Цель освоения дисциплины

The course is aimed to provide students with necessary knowledge and tools to work with machine learning tasks.
During the learning process, students will gain the ability to develop real ML projects and solve real tasks with the connection to business needs of the companies

Планируемые результаты обучения

Be able to set up python environment for ML task;
Understand key concepts of ML, current trends of AI;
Be able to pass through all steps of DS task: EDA, process missing data and outliers, train an ML model, evaluate an ML model;
Be able to find and read articles about ML applications.