2023/2024
Машинное обучение на больших данных часть 2
Статус:
Дисциплина общефакультетского пула
Когда читается:
1, 2 модуль
Онлайн-часы:
52
Охват аудитории:
для своего кампуса
Преподаватели:
Бардуков Анатолий Андреевич
Язык:
английский
Кредиты:
6
Контактные часы:
10
Course Syllabus
Abstract
This course focuses on future of ML Engineering. It starts from big data problems and classic models appliance, introduces approaches for text (NLP) and other data types (images, etc), and in the end presents the field of ML operations. Final project requires you to show the full cycle of ML workflow including data collection, training and deployment.
To complete the course, students are supposed to have skills in classical algorithms and data structures, main concepts of machine learning, and Python programming.