Importance of machine learning and data science in modern business
The article provides guidance on choosing cloud-based ML and data science solutions that meet operational strategies and crisis management needs. Further research is encouraged to examine the long-term effects on business innovation and market dynamics.
Подобные документы
The purpose of the scientific work is to identify the features of the use of cloud computing in higher educational institutions for colleges and universities. The risks and benefits of cloud architecture are considered. Analysis main activities.
статья, добавлен 06.04.2022Assessment of the impact of digitalization on society, economy and business. Ensuring the protection of individual data and commercial secrets. The use of artificial intelligence in everyday life. Integration of digital tools into the management system.
статья, добавлен 13.11.2023One of the important functions of science is the organization of information storage for searching some data. The basic principle of the database and Relational Database Management System. The SQL Language, Web-page, Macros and Integrity Constraints.
презентация, добавлен 07.03.2018Понятие термина Data Mining, его история возникновения. Понятие искусственного интеллекта. Сравнение статистики, машинного обучения и Data Mining. Развитие технологии баз данных начиная с 1960-х г. Data Mining как часть рынка информационных технологий.
реферат, добавлен 14.01.2015- 30. Big Data
Определение термина "Big Data" и его применение в работе с информацией огромного объема и разнообразного состава. Определение основных источников получения компаниями информации. Методики анализа массивов данных и технологии Big Data в разных отраслях.
курсовая работа, добавлен 28.09.2015 With the help of business intelligence (an analytical report of Power BI)tools developed visualization of rating indicators of lecturers and departments for making successful management decisions that will contribute to the quality of higher education.
статья, добавлен 10.08.2023- 32. Navigating the complexity: pseudo-chaotic systems and machine learning scientific research group
Structure and properties of pseudo-chaotic systems. Using machine learning tools for pattern recognition and event prediction. Consideration of ethical issues and assessment of the implications for the synergy of environmental sciences and bioengineering.
статья, добавлен 19.03.2024 Using Duraton-Overman test to study detailed location patterns of the forestry and agricultural industry in Russia. Data analysis package. The first article on geocoding. Methods for measuring localization. Distance-based localization measurement.
курсовая работа, добавлен 11.02.2017Data flow diagrams as a hierarchy of functional processes related data flows. Familiarity with the main components of a data flow diagram: external entities, systems and subsystems, processes. Analysis of the structure of building hierarchy DFD.
статья, добавлен 25.03.2019Information technologies for working with knowledge bases are considered, and a description of the concepts of Knowledge Management and "Business Intelligence" is given. The classification of knowledge is given. according to different categories of signs.
статья, добавлен 04.09.2022Задачи Data Mining: описательные и предсказательные, классификации и регрессии, поиска ассоциативных правил, кластеризации. Практическое применение Data Mining. Особенности нечеткой логики, виды физической неопределенности. Процесс обнаружения знаний.
презентация, добавлен 27.04.2023Історія формування Data Mining, її головні завдання. Порядок формулювань завдань при використанні методів OLAP і Data Mining. Рівні знань, видобутих з даних. Характеристика основних бізнес-додатків: роздрібна торгівля, телекомунікація, страхування.
реферат, добавлен 30.04.2014Мета технології Data Mining - знаходження в даних закономірностей, які не можуть бути знайдені традиційними методами. Види моделей (предиктивні та описові). Використання методів й алгоритмів Data Mining для побудови моделей. Класифікація стадій та фаз.
реферат, добавлен 22.07.2017A novel family of data-driven linear transformations, aimed at finding low dimensional embeddings of multivariate data, in a way that optimally preserves the structure of the data. The PCA and Fisher’s LDA are the special members in this transformation.
статья, добавлен 08.02.2013Characterization major methods of construction principal manifolds. Familiarity with the issues numerical computation. Analysis nonlinear manifold learning from unorganized data points is a challenging unsupervised learning and data visualization.
автореферат, добавлен 08.02.2013The main tasks of artificial intelligence: creation and work in systems of symbolic calculations, systems with fuzzy logic, cognitive psychology, understanding of natural language, creation of expert systems. Its importance in business processes.
статья, добавлен 17.12.2022Study of the activities of leading companies operating in the global information technology market in the context of the transnationalization of international business. The current trends in the development of international production are determined.
статья, добавлен 19.08.2020The current state of application and development of cloud computing, the main advantages and disadvantages of their use in the states, enterprises and in scientific activity. Guidance documents in the field of cloud computing information security.
статья, добавлен 23.10.2020The weather forecast from a scientific point of view as one of the most complex problems of atmospheric physics. General characteristics of the big data forecasting system using the similarity method. Features of using big data for digitization.
дипломная работа, добавлен 13.07.2020Происхождение и эволюция инструмента управления эффективностью бизнеса Business Performance Management, этапы его методологических и информационных составляющих. Классы программного обеспечения для автоматизации и контроля управленческих бизнес-процессов.
контрольная работа, добавлен 16.07.2014Reducing the amount of required memory, reducing the time for data processing and reducing the number of copies of documents when updating information in the automation process. Analysis of the choice of technologies for application development.
статья, добавлен 31.08.2022The basic tendencies of development of mobile marketing in Ukraine are considered. The development of Internet marketing. The advantages of hybrid mobile applications, the essence of their use, as one of the modern means of communication for business.
статья, добавлен 10.10.2018Development and implementation of new technologies in banking services. The ability to improve the existing anti-fraud model used in real banking practice. Clusters and their impact on the assessment of the existing anti-fraud model. Data Chart Analysis.
дипломная работа, добавлен 10.12.2019Применение методов классификации, моделирования и прогнозирования, основанных на применении деревьев решений, искусственных нейронных сетей, генетических алгоритмов, эволюционного программирования. Задачи и возможности Data Miner в Statistica 8.
реферат, добавлен 19.12.2014Digital transformation is a concept that introduces the state and companies to the application of technologies and processes that include data digitization, cloud computing. An assessment of how the digital conversion program is being implemented in RF.
дипломная работа, добавлен 01.12.2019