2023/2024

Large Scale Machine Learning 1

Type: Optional course (faculty)

Delivered by: Big Data and Information Retrieval School

When: 1, 2 module

Online hours: 52

Open to: students of one campus

Instructors: Margarita Burova

Language: English

ECTS credits: 6

Contact hours: 10

Course Syllabus

Abstract

Large-scale machine learning requires fundamental knowledge in the field of data storage and processing. You need to operate with data for which one machine with standard hardware characteristics is not enough. Examples of such data might be user logs for a particular service, a collection of media files, or Wikipedia articles. This 6-week course gives you knowledge about the main concepts and frameworks that are actively used in companies for which it is critical to analyze large amounts of data in the shortest possible time. These can be companies that own: - search engines (for example, Google, Yandex, Microsoft, Yahoo!, etc.), - social networks and blogs (Twitter, Linked In, etc.), - recommendation services (for example, Kinopoisk from Yandex). The average time to complete this course depends on your background, you might spend 10 to 20 hours per week. To complete the course, students are supposed to have skills in classical algorithms and data structures, main concepts of machine learning, and Python programming.