We use cookies in order to improve the quality and usability of the HSE website. More information about the use of cookies is available here, and the regulations on processing personal data can be found here. By continuing to use the site, you hereby confirm that you have been informed of the use of cookies by the HSE website and agree with our rules for processing personal data. You may disable cookies in your browser settings.

✖

Regular version of the site

International Admissions

Academic Supervisor

Koldanov, Petr

Scientific Supervisor

Kalyagin, Valery A.

Manager

Nikolaeva, Yulia

Contacts

136 Rodionova street, Room 408
Nizhny Novgorod, 603155, Russia

Phone: +7 (831) 432-01-05 *6404

Email: nmulihova@hse.ru

Feedback: Got ideas on how to make HSE University better? Share them here.

Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!
To be used only for spelling or punctuation mistakes.

Delivered at:: Department of Applied Mathematics and Informatics (Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod))

Course type:: Compulsory course

When:: 2 year, 2 module

Instructor

Razvenskaya, Olga

Ask Question

Abstract

The study of this discipline is based on the following courses: • Machine learning • Data analysis methods To master the discipline, students must possess the following knowledge and competencies: • Programming method • Linear algebra Probability and statistics The main provisions of the discipline can be used in their professional activities. https://www.coursera.org/learn/competitive-data-science

Master’s Programme 'Data Mining'

Contacts

How to Win a Data Science Competition: Learn from Top Kagglers

Instructor

Course Syllabus

Abstract