Глоссариум по искусственному интеллекту: 2500 терминов. Том 2

Digital transformation is the process of integrating digital technologies into all aspects of activity, requiring fundamental changes in technology, culture, operations and the principles of creating new products and services[401 - Цифровая трансформация [Электронный ресурс] https://dzen.ru URL: https://dzen.ru/media/id/5dc27f571febd400ae31e2fb/chto-takoe-cifrovaia-transformaciia-v-sovremennom-mire-5fbf81f49e832457058b9a92 (дата обращения: 10.07.2023)].

Digital transformation of the economy is a continuous and dynamically changing process of development, implementation and development of innovations and new technologies in all its sectors, which fundamentally affects the socio-economic and cultural development of the information society.

Digitalization is a new stage in the automation and informatization of economic activity and public administration, the process of transition to digital technologies, which is based not only on the use of information and communication technologies to solve production or management problems, but also on the accumulation and analysis of big data with their help in order to predict situation, optimization of processes and costs, attraction of new contractors, etc.

[402 - Цифровизация [Электронный ресурс] https://library.bsuir.by URL: https://library.bsuir.by/ru/tolkovyy-slovar-terminov-i-ponyatiy-po-voprosam-tsifrovoy-transformatsii (дата обращения: 10.07.2023)].

Dimension reduction – decreasing the number of dimensions used to represent a particular feature in a feature vector, typically by converting to an embedding[403 - Dimension reduction [Электронный ресурс] www.

primeclasses.in URL: https://www.primeclasses.in/glossary/data-science-course/machine-learning/bucketing (дата обращения 28.02.2022)].

Dimensionality reduction (also dimension reduction) – the process of reducing the number of random variables under consideration by obtaining a set of principal variables. It can be divided into feature selection and feature extraction[404 - Dimensionality reduction [Электронный ресурс] www.

primeclasses.in URL: https://www.primeclasses.in/glossary/data-science-course/machine-learning/bucketing (дата обращения 28.02.2022)].

Dimensionality reduction is a learning technique used when the number of features (or dimensions) in a given dataset is too high. It reduces the number of data inputs to a manageable size while also preserving the data integrity.