2023/2024
Современные методы принятия решений: прикладные задачи машинного обучения
Статус:
Маго-лего
Когда читается:
1 модуль
Онлайн-часы:
52
Охват аудитории:
для своего кампуса
Преподаватели:
Тихонова Мария Ивановна
Язык:
английский
Кредиты:
3
Контактные часы:
10
Course Syllabus
Abstract
Machine learning is a very popular and important field in the modern world. Every day lots of people deal with products that have been created using various machine learning technologies. In order to enable the machines to make right decisions based on data, different problems need to be addressed. The course is focused on the advanced tasks and instruments of data analysis and machine learning. The course is aimed at the participants who liked the basics of data analysis and machine learning and who want to study data science in more detail.
Practice parts are conducted in programming language Python and are based on different libraries such as numpy, pandas, matplotlib, scikit-learn, and others. In order to successfully pass the course, listeners are required to have mathematical skills at the school level, skills of programming in Python, and also a basic knowledge of data analysis and machine learning. Listener's performance is evaluated using programming assignments, theoretical tests based on the materials from lectures, and project assignment.