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Academic Supervisor

Khrabrov, Alexander I.

Academic Supervisor

Mukhin, Mikhail

Contacts

3a Kantemirovskaya Ulitsa, Room 331
St. Petersburg, 193171, Russia

Phone: +7 (812) 644-59-11 ext. 61578

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Delivered at:: Department of Informatics

Course type:: Compulsory course

When:: 3 year, 2 module

Instructor

Shpilman, Aleksei

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Abstract

The purpose of mastering the discipline is to familiarize students with the theoretical foundations and basic principles of machine learning, mastery tools, models and methods of machine learning, as well as the acquisition of skills as a data scientist and developer of mathematical models, methods and algorithms for data analysis. To master the discipline students must know linear algebra and geometry, basics of programming, differential equations and theory of probability and mathematical statistics.

Bachelor’s Programme 'Applied Mathematics and Information Science'

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Introduction to Machine Learning

Instructor

Course Syllabus

Abstract