Master 2023/2024

Mentor's Seminar "Math of Machine Learning "

Category 'Best Course for Career Development'

Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'

Category 'Best Course for New Knowledge and Skills'

Type: Compulsory course (Math of Machine Learning)

Area of studies: Applied Mathematics and Informatics

Delivered by: Big Data and Information Retrieval School

Where: Faculty of Computer Science

When: 1 year, 1-4 module

Mode of studies: offline

Open to: students of one campus

Instructors: Alexey Naumov, Fyodor Noskov

Master’s programme: Math of Machine Learning

Language: English

ECTS credits: 6

Contact hours: 32

Course Syllabus

Abstract

This seminar is devoted to the problems of Mathematics and Computer Science and covers areas such as Mathematical Statistics, Machine Learning, Random Matrix Theory, Optimization, Machine learning etc.