Machine learning: from statistics to neural networks - course 21,000 rubles. from Open education, training 15 weeks, about 10 hours per week, Date: December 3, 2023.
Miscellaneous / / December 07, 2023
National Research University Higher School of Economics is a research university that carries out its mission through scientific-educational, project, expert-analytical and sociocultural activities based on international scientific and organizational standards.
We recognize ourselves as part of the global academic community; we consider international partnership and involvement in global university interaction to be key elements of our movement forward. As a Russian university, we work for the benefit of Russia and its citizens.
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Our values:
- The pursuit of truth
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Today the Higher School of Economics is:
- 4 CAMPUSES: MOSCOW, ST. PETERSBURG, NIZHNY NOVGOROD, PERM
- ~7000 TEACHERS AND RESEARCHERS
- 50,400+STUDENTS
- 100,800 GRADUATES
A new element of the Russian education system - open online courses - can be transferred to any university. We make this a real practice, expanding the boundaries of education for every student. A full range of courses from leading universities. We are systematically working to create courses for the basic part of all areas of training, ensuring that any university can conveniently and profitably integrate the course into its educational programs
"Open Education" is an educational platform offering massive online courses from leading Russian universities that have joined forces to provide everyone with the opportunity to receive a high-quality higher education education.
Any user can take courses from leading Russian universities completely free of charge and at any time, and students of Russian universities will be able to count their learning results at their university.
Graduated from Moscow State University. Lomonosov in 2013 with a degree in Applied Mathematics and Computer Science. Started working at the Higher School of Economics in 2016. He teaches courses on machine learning for big data and introduction to deep learning. Professional interests: machine learning Education 2013 Specialty: Moscow State University. M.V. Lomonosov, specialty “Applied Mathematics and Computer Science” Professional experience Yandex Data Factory - Data Scientist - 2015-present. Ozon.ru - Lead Data Scientist - 2014-2015 Ozon.ru - Data Scientist - 2012-2014 Awards and achievements Gratitude from the Faculty of Computer Science of the National Research University Higher School of Economics (August 2018) Best teacher – 2018, 2017
I work as a Data Scientist at Yandex. I fight spam, fraud and toxic content using machine learning. Before that, he worked as an analyst at Sberbank. I built models there to predict time series. Graduated from the Faculty of Economics. I am a graduate student studying the application of machine learning for economics. I teach various courses related to data analysis, statistics and machine learning at the National Research University Higher School of Economics and RANEPA.
Position: Senior Lecturer, Faculty of Computer Science, Department of Big Data and Information Retrieval.
Graduated from the Faculty of Computational Mathematics and Cybernetics of Moscow State University in 2013. Started working at the Higher School of Economics in 2016. He teaches courses on Introduction to Data Analytics, Introduction to Machine Learning, and Applied Data Science.
Deputy Head of Department, Senior Lecturer, Faculty of Computer Science, Department of Big Data and Information Retrieval; Project Manager, Academic Supervisor, Faculty of Computer Science, Center for Continuing Education; Head of Laboratory, Faculty of Computer Science, Department of Big Data and Information Retrieval, Research Laboratory for Data Analysis in Financial Technologies; Academic director of the educational program "Applied Mathematics and Computer Science".
Professional interests: data analysis, machine learning, analysis and automatic text processing Education 2013 Specialty: Moscow State University. M.V. Lomonosov, specialty "Applied mathematics and computer science" Professional experience Worked in the companies Bioclinicum, Forecsys, Ozone. Since 2014 he has been working at Yandex. Since 2016, he has been working at the Faculty of Computer Science at the National Research University Higher School of Economics, where he teaches courses in the “Intellectual” minor. data analysis”, developed and teaches a course on machine learning in the program “Applied Mathematics and Informatics". Since 2019 - academic director of the “Applied Mathematics and Informatics” program. Awards and achievements Best teacher – 2019, 2018, 2017
The purpose of the course “Innovative methods of teaching foreign languages” is to provide theoretical and practical training to students: in the theory of teaching foreign languages; on mastering innovative methods of teaching foreign languages in the digital educational space; on the development of practical skills in designing problem-oriented, project-based and gamification tasks for teaching foreign languages.
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Studying the fundamentals of the theory and practice of creating and operating Database Systems. Development of technical requirements for the database, conceptual, logical, physical design, storage organization, data processing and information retrieval, writing manipulation operators...
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