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
An overview of machine learning applications for analyzing genome data. Molecular medicine and gene therapy. DNA and RNA are mobile genetic elements. Possible applications of transposons. Cross check software algorithm. Recognition of relocatable items.
дипломная работа, добавлен 10.12.2019Theoretical aspects of the development of digital platform for engineering controlling business. Digital platform as part of the global economy. Conceptual apparatus for the research. Problems of product exchange between the city and the rural settlement.
дипломная работа, добавлен 14.12.2019The analises widespread adoption of data-driven business intelligence techniques at the operational, tactical, and strategic levels in the mobile industry, coupled with the integration of user-centric metrics, has brought about a paradigm shift.
статья, добавлен 25.06.2024On relevance of technical analysis. Pattern recognition. Technical indicators. Data processing. Feature extraction. Kolmogorov-Smirnov test. Algorithm and software. Model configuration. Clustering performance on simulated data, brutе force algorithm.
учебное пособие, добавлен 26.08.2016The 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- 34. 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- 36. 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 11.02.2017Сущность понятия "Big Data", преимущество анализа огромных массивов данных для аэрокосмической промышленности. Вывод о ключевой роли алгоритма Big Data в обеспечении безопасности космических миссий с акцентом на важности развития инновационных технологий.
статья, добавлен 24.02.2025Data 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 08.02.2013In this research paper, the author analyzes the impact of artificial intelligence (AI) technologies on business performance. It provides an overview of the use of AI to optimize complex processes, predict trends, and personalize customer interactions.
статья, добавлен 26.02.2025Characterization 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 17.12.2022Дослідження технології Big Data у взаємодії із штучним інтелектом. Переваги використання технології Big Data, прогноз розвитку, аналіз позитивних та негативні наслідки її використання. Ризики впровадження та розповсюдження технологій штучного інтелекту.
статья, добавлен 14.12.2024Study 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 23.10.2020