Maxim Kazakov
- Visiting Lecturer:HSE Campus in Nizhny Novgorod / Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod) / Department of Applied Mathematics and Informatics
- Maxim Kazakov has been at HSE University since 2024.
Continuing education / Professional retraining / Internships / Study abroad experience
May, 2015. "Operations research and applications"
May, 2014. "Operations research and applications"
Courses (2023/2024)
- Data Mining and Elements of Machine Learning (Bachelor’s programme; Faculty of Humanities (Nizhny Novgorod); 3 year, 3, 4 module)Eng
- Past Courses
Courses (2022/2023)
Data Analysis and Machine Learning (Master’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 1 year, 2 module)Eng
Courses (2020/2021)
- Applied Data Analysis Problems (Minor; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 3, 4 module)Rus
- Data Analysis (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 2 year, 3, 4 module)Rus
- Introduction to Data Analysis (Minor; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 3, 4 module)Rus
- Introduction to Programming (Minor; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 1, 2 module)Rus
- Modern Machine Learning Methods (Minor; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 1, 2 module)Rus
Courses (2019/2020)
- Introduction to Data Analysis (Minor; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 3, 4 module)Rus
- Introduction to Programming (Minor; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 1, 2 module)Rus
- Modern Machine Learning Methods (Minor; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 1, 2 module)Rus
Publications2
- Chapter Kazakov M., Kalyagin V. A. Spectral Properties of Financial Correlation Matrices, in: Models, Algorithms and Technologies for Network Analysis, Springer Proceedings in Mathematics & Statistics / Ed. by V. A. Kalyagin, Petr A. Koldanov, P. M. Pardalos. Vol. 156. Switzerland : Springer, 2016. doi P. 135-156. doi
- Chapter Porshnev A., Kazakov M. Possible Ways of Applying Citations Network Analysis to a Scientific Writing Assistant, in: Springer Proceedings in Mathematics and Statistics. Volume 104 Models, Algorithms and Technologies for Network Analysis. L., NY, Dordrecht, Heidelberg, Cham : Springer, 2014. P. 119-126. doi