Evgeny Sokolov
- Deputy Head, Senior Lecturer:Faculty of Computer Science / Big Data and Information Retrieval School
- Evgeny Sokolov has been at HSE since 2016.
Courses (2018/2019)
- Introduction to Data Analysis (Bachelor’s programme; Faculty of Computer Science; programme "Applied Mathematics and Information Science"; 2 year, 3, 4 module)Rus
- Machine Learning (Master’s programme; Faculty of Computer Science; programme "Financial Technology and Data Analysis")Rus
- Machine Learning 1 (Bachelor’s programme; Faculty of Computer Science; programme "Applied Mathematics and Information Science"; 3 year, 1, 2 module)Rus
- Машинное обучение 2 (Bachelor’s programme; Faculty of Computer Science; programme "Applied Mathematics and Information Science"; 3 year, 3, 4 module)Rus
- Modern Machine Learning Methods (Bachelor’s programme; Faculty of Computer Science; programme "Applied Mathematics and Information Science"; 3 year, 1, 2 module)Rus
- Past Courses
Courses (2017/2018)
- Introduction to Data Analysis (Bachelor’s programme; Faculty of Computer Science; programme "Applied Mathematics and Information Science"; 2 year, 3, 4 module)Rus
- Introductory Research Seminar (Bachelor’s programme; Faculty of Computer Science; programme "Applied Mathematics and Information Science"; 2 year, 3 module)Eng
- Machine Learning (Bachelor’s programme; Faculty of Economic Sciences; programme "Joint HSE-NES Undergraduate Program in Economics"; 4 year, 1, 2 module)Rus
- Machine Learning (Bachelor’s programme; Faculty of Economic Sciences; programme "Economics"; 4 year, 1, 2 module)Rus
- Machine Learning (Master’s programme; Faculty of Computer Science; programme "Financial Technology and Data Analysis"; 1 year, 1, 2 module)Rus
- Machine Learning 1 (Bachelor’s programme; Faculty of Computer Science; programme "Applied Mathematics and Information Science"; 3 year, 1, 2 module)Rus
- Machine Learning 2 (Bachelor’s programme; Faculty of Computer Science; programme "Applied Mathematics and Information Science"; 3 year, 3, 4 module)Rus
Courses (2016/2017)
- Machine Learning 1 (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Rus
- Machine Learning 2 (Bachelor’s programme; Faculty of Computer Science; 3 year, 3, 4 module)Rus
- Numerical methods in data analysis (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Rus
Student Term / Thesis Papers
- Bachelor
D. Valter «Text Embeddings for Recommender Systems)». Faculty of Computer Science, 2018
I. Gavrilov «Automated Analysis of the Business Process Using Process Mining». Faculty of Computer Science, 2018
R. Luchkov «Question-Answer System in the Banking Domain». Faculty of Computer Science, 2018
N. Benkovich «Automated Analysis of the Business Process Using Process Mining». Faculty of Computer Science, 2018
E. Kovalev «Deep Learning for Sentiment Analysis of Short Texts». Faculty of Mathematics, 2018
Publications3
- Article Bedenkov A., Shpinev V., Suvorov N., Sokolov E., Riabenko E. Consolidating Russia and Eurasia antibiotic resistance data for 1992–2014 using search engine // Frontiers in Microbiology. 2016. Vol. 7. No. 294. P. 1-6. doi
- Chapter Romov P. A., Sokolov E. RecSys Challenge 2015: ensemble learning with categorical features, in: Proceedings of the 2015 International ACM Recommender Systems Challenge. NY : ACM, 2015. doi
- Chapter Sokolov E., Bogolubsky L. Topic Models Regularization and Initialization for Regression Problems, in: Proceedings of the 2015 Workshop on Topic Models: Post-Processing and Applications. NY : ACM, 2015. doi P. 21-27. doi
HSE Launches Two New Specializations in Computer Science on Coursera
‘Introduction to Discrete Mathematics for Computer Science’ and ‘Advanced Machine Learning’ are English-language specializations, both created with the support of the top Russian IT firm Yandex, while the specialization ‘Introduction to Discrete Mathematics for Computer Science’ was developed with the involvement of the University of California at San Diego.
Faculty of Computer Science Staff Attend International Conference on Machine Learning
On August 6-11 the 34th International Conference on Machine Learning was held in Sydney, Australia. This conference is ranked A* by CORE, and is one of two leading conferences in the field of machine learning. It has been held annually since 2000, and this year, more than 1,000 participants from different countries took part.
HSE Team Made it to Imagine Cup, International Student Project Competition, Finals
An app developed by the Faculty of Computer Science student team has made it to the finals of the Imagine Cup 2017, an international student project technology competition. Together with the other two finalists from Russia, the HSE team will represent their country at the international finals in Seattle this summer, where they will compete for the $100,000 main prize.
