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Regular version of the site

Courses HSE/Skoltech

1st year

Basic Courses

Modern Methods of Data Analysis: Stochastic Calculus 

Credits: 6;     University: HSE;     Module: 1-2.

Alexey Naumov

 

 

Denis Belomestny 

 

Sergey Samsonov

Project Seminar/ Innovation Workshop

Credits: 6;     University: Skoltech;    Module: 1.


 
Numerical Linear Algebra

Credits: 6;     University: Skoltech;     Module: 2.

Ivan Oseledets

 

Modern Methods of Decision Making: Advanced Statistical Methods

Credits: 6;     University: HSE/Scoltech;     Module: 3.
 

Vladimir Spokoiny

 

Machine Learning Credits: 6;     University: Scoltech;     Module: 3. 

Evgeny Burnaev

 

High-dimensional Statistical Methods

Credits: 6;     University: HSE;    Module: 3.
 

Quentin Paris

Elective Courses

Introduction to Data Science 

Credits: 3;     University: Skoltech;    Module: 1.

Maxim Panov

 

Mikhail Belyaev

Efficient Algorithms and Data Structures

Credits: 6;     University: Skoltech;    Module: 2.
 

Gregory Kucherov

Digital Image Processing 

Credits: 3;     University: Skoltech;    Module: 2.
 

Andrey Ivanov

Information and Coding Theories 

Credits: 6;     University: Skoltech;    Module: 3.
 

Alexey Frolov

Deep Learning

Credits: 6;     University: Skoltech;    Module: 4.
 

Victor Lempitsky

Geometrical Methods of Machine Learning

Credits: 3;     University: Skoltech;    Module: 4.
 

Alexander Bernstein

2nd year   

 
Basic Courses

 
Modern Algorithmical Optimization

Credits: 6;     University: HSE;    Module: 1-2.
 

Pavel Dvurechensky

  

Anastasia Ivanova

Research Seminar

Credits: 6;     University: HSE;    Module: 1-2.
 

Alexsey Naumov

Elective Courses

 
Bayesian Methods for Machine Learning

Credits: 6;     University: Skoltech;    Module: 1.
 

Evgeny Burnaev

Random Matrix Theory

Credits: 6;     University: HSE;    Module: 1.
 

Alexey Naumov

  

Nikita Puchkin

Neurobayesian Models

Credits: 6;     University: HSE;    Module: 3.
 

Dmitry Vetrov