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Профессия Data Scientist
С. 48-51.
Zhukov L. E.
М. : ЗАО "Открытые системы", 2013
Россия, как и весь мир, вступила в новый, постиндустриальный период развития национальной экономики, когда ключевым фактором успеха для многих ее отраслей становится возможность эффективно обрабатывать огромные массивы и потоки информации. Финансы, транспорт, связь, торговля, туризм, здравоохранение и другие области уже не могут существовать без высокоуровневой информатизации, предприятия порождают и потребляют огромные объемы данных, и их ...
Added: May 12, 2014
Mirkin B., Springer, 2019
This book concentrates on in-depth explanation of a few methods to address core issues, rather than presentation of a multitude of methods that are popular among the scientists. An added value of this edition is that I am trying to address two features of the brave new world that materialized after the first edition was ...
Added: August 21, 2019
Tikhonova M., Elina Telesheva, Mirzoev S. et al., , in : 2021 International Conference Engineering and Telecommunication (En&T). : IEEE, 2022. P. 1-6.
Style transfer is an important and a rapidly developing of Natural Language Processing. This days more and more methods and models are proposed which allow us to generate text in predefined style. In this paper we propose a framework for style transfer of “Friends” TV series. The trained models are able to mimic one of ...
Added: May 21, 2022
Yavorskiy R., Voznesenskaya T., Рудаков К. А., , in : Proceedings of Analysis of Images, Social Networks and Texts – 7th International Conference, AIST 2018, Moscow, Russia, July 5-7, 2018, Revised Selected Papers. Lecture Notes in Computer Science. Vol. 11179.: Berlin : Springer, 2018. Ch. 1. P. 3-9.
We present in the form of two visualizations some preliminary results of the ongoing study of data science community in Russia. The rst visualization aggregates data about top researches and their elds of interest according to the Google Scholar service. The second graph is a map of the largest online communities on date science on ...
Added: October 4, 2018
Ivaniushina V. A., Alexandrov D. A., Musabirov I., Вопросы образования 2016 № 4 С. 229-250
In this paper we explore motivational structure of students taking a challenging university course. The participants were second-year undergraduate students majoring in Economics, Sociology, Management and Humanities, enrolled in the Data Science minor. Using expectancy-value theory as a framework, we aim (1) to analyze gender differences in motivation; (2) to identify the link between the ...
Added: December 23, 2016
Minsk : [б.и.], 2022
This collection of papers includes proceedings of the Thirteenth International Conference "Computer Data Analysis and Modeling: Stochastics and Data Science" organized by the Belarusian State University and held in September 2022 in Minsk. Papers are reviewed by qualied researchers from Belarus and Russia. ...
Added: October 27, 2022
М. : МАКС Пресс, 2020
В рамках указанной международной конференции была проведена XVII конференция Межрегиональной ассоциации "История и компьютер". ...
Added: January 12, 2021
М. : МАКС Пресс, 2020
Сборник содержит тексты докладов Международной конференции. В рамках указанной международной конференции была проведена XVII конференция Межрегиональной Ассоциации «История и компьютер». ...
Added: January 12, 2021
Manzo M., Giordano M., Maddalena L. et al., Studies in Computational Intelligence 2023 Vol. 1084 P. 117-145
Essential genes (EGs) are fundamental for the growth and survival of a cell or an organism. Identifying EGs is an important issue in many areas of biomedical research, such as synthetic and system biology, drug development, mechanistic and therapeutic investigations. The essentiality is a context-dependent dynamic attribute of a gene that can vary in different ...
Added: September 14, 2023
Springer, 2021
Added: January 5, 2022
Сахнюк П. А., Bristol : IOP Publishing, 2020
Artificial intelligence and machine learning helps to improve the quality of customer service and change the methods of companies’ activities. For this reason, enterprises should consider integrating these technologies into digital transformation plans to remain competitive. Low-code machine learning platforms allow companies and business professionals with minimal coding experience to create applications and fill in ...
Added: December 8, 2020
Suvorova A., Musabirov I., Karepin V. et al., Инженерное образование 2019 № 25
В статье рассматривается тенденция расширения областей востребованности инженерных компетенций, что формирует новые вызовы перед развитием образовательных программ. Отмечено, что ответ на них требует междисциплинарного взаимодействия на различных уровнях, приведены примеры такого взаимодействия. Кроме того, в статье описан опыт разработки отдельных курсов и инициатив, обеспечивающих проникновение «цифровых» инженерных компетенций в неинженерные направления. ...
Added: December 10, 2018
Springer, 2021
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or ...
Added: September 26, 2021
Goldengorin B. I., Springer, 2016
This book focuses on recent research in modern optimization and its implications in control and data analysis. This book is a collection of papers from the conference “Optimization and Its Applications in Control and Data Science” dedicated to Professor Boris T. Polyak, which was held in Moscow, Russia on May 13-15, 2015.
This book reflects developments ...
Added: October 10, 2016
NY : ACM, 2021
The annual ACM SIGMOD/PODS Conference is a leading international forum for database researchers, practitioners, developers, and users to explore cutting-edge ideas and results, and to exchange techniques, tools, and experiences. The conference includes a fascinating technical program with research and industrial talks, tutorials, demos, and focused workshops. It also hosts a poster session to learn about innovative ...
Added: April 28, 2021
Maksimenkova O. V., Neznanov A., Radchenko I., , in : The Challenges of the Digital Transformation in Education. Vol. 1.: Switzerland : Springer, 2020. P. 14-25.
The paper addresses the questions of data science education of
current importance. It aims to introduce and justify the framework that allows
flexibly evaluate the processes of a data expedition and a digital media created
during it. For these purposes, the authors explore features of digital media
artefacts which are specific to data expeditions and are essential to accurate
evaluation. ...
Added: February 6, 2019
Musabirov I., Paul Okopny, Stanislav Pozdniakov, , in : NordiCHI '16: Proceedings of the 9th Nordic Conference on Human-Computer Interaction. : ACM, 2016. P. 119:1-119:6.
In this paper, we present our current research regarding information interaction strategies of students of minor specialization in Data Science. We employed an online platform, consisted of a third-party and our software, to provide students with means of learning and analyse their learning activity. We developed several indicators to estimate their activity: coding activity, friends ...
Added: November 28, 2016
Khritankov Anton, Pershin N., Uhov N. et al., / arXiv.org. Series arXiv:2107.12322 "Computer Science > Machine Learning". 2021.
In this paper we explore the challenges of automating experiments in data science. We propose an extensible experiment model as a foundation for integration of different open source tools for running research experiments. We implement our approach in a prototype open source MLDev software package and evaluate it in a series of experiments yielding promising ...
Added: October 6, 2021
P. : IEEE, 2015
Following the great success of DSAA’2014 in Shanghai, the 2015 IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA’2015), to be held on 19-21 October 2015 in Paris, has seen the significant growth of the number of submissions, participates, sponsors and key stakeholders. Without any doubt, DSAA has been recognized to be the ...
Added: January 14, 2016
Maksimenkova O. V., Radchenko I., , in : Proceedings of the 12th Central and Eastern European Software Engineering Conference in Russia. : NY : ACM, 2016.
A phenomenon of citizen science, its features and prospects are the topic of high actuality nowadays. And it seems to be natural, that citizen science and crowdsourcing techniques penetrate to such popular area as data science. This paper considers the questions about teaching data science and the areas, which borrow the techniques from data science. ...
Added: January 12, 2017
IEEE, 2022
Added: May 20, 2022
Tagiew R., Ignatov D. I., , in : Proceedings of the Fourth Workshop on Experimental Economics and Machine Learning (EEML 2017), Dresden, Germany, September 17-18, 2017. Vol. 1968.: Aachen : CEUR Workshop Proceedings, 2017. Ch. 6. P. 52-64.
Academic rewards and honors are proven to correlate with h-index, although it was not the decision criterion for them till recent years. Once h-index becomes the rule-setting scientometric ranking measure in the zero-sum game for academic positions and research resources as suggested by its advocates, the rational behavior of competing academics is expected to converge ...
Added: December 17, 2017
Musabirov I., Поздняков С. И., Tenisheva K., International Journal of Emerging Technologies in Learning 2019 Vol. 14 No. 5 P. 64-74
This paper studies the patterns of learning behaviour in connection with educational achievement in multi-year undergraduate data science minor specialisation for non-STEM students. In particular, this work focuses on analysing the predictors of academic achievement in blended-learning setting factors related to initial mathematics knowledge, specific traits of educational programs, online and offline learning engagement, and ...
Added: April 17, 2019