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Intelligent tutoring systems (its)
| Глоссарий терминов искусственного интеллекта |
A computer system or digital learning environment that gives instant and custom feedback to students. an intelligent tutoring system may use rule-based ai (rules provided by a human) or use machine learning under the hood. by under the hood we mean the underlying algorithms and code that an its is built with. itss can support adaptive learning.
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Environment, английский
- Surrounding in which operates, including air, water, land, natural resources, flora, fauna, humans and their interaction.
- Окружающая среда. совокупность всех материальных тел, сил и явлений природы, ее вещество и пространство, любая деятельность человека, находящегося в непосредственном контакте с живыми организмами; совокупность абиотической, биотической и социальной сред,
- Окружающие условия [среда]; внешние факторы или воздействия; условия эксплуатации ` (лл)
- The conditions and influences under which an organism lives
- N 1 лнгв. окружение; 2 псхл. окружающая обстановка5 consonantal ~ консонантное окружение epanalepsis n эпаналепсис, удвоение6 epenthesis n 1 эпентеза, вставка звуков1; 2 добавление гласного звука для того, чтобы 3 английский как язык международного общения. 4 несовпадение стиховых и фразовых границ. 5 внешний контекст, в котором происходит наше поведение. 6 фигура речи, состоящая в повторе слова, словосочетания или пред- ложения. epenthetic 41 evaluation разбить труднопроизносимую группу (кла- стер) согласных
- Окружающая среда
- Окружающая среда; при- родно-ландшафтная среда
- The place in which an organism lives, and the circumstances under which it lives. environment includes measures like moisture and temperature, as much as it refers to the actual physical place where an organism is found.
- The combination of all the external conditions and the potential effect of the inner environment (heteromosaic of abiotic conditions). e. change: survival depends on the life span of the organisms involved, and has to adapt to a new situation via genetic change, evolution, etc. • cyclic change: rhythmically repetitive, like cycles of a season, day / night, movement of tides etc. • directional change: change is maintained over a long period in relation to the life span of organisms - erosion, siltation, cycles of glaciation, etc. • erratic change: these have no rhythm and no consistent direction e.g., hurricanes, cyclones, flash storms, fires, vulcanos, earthquake, etc.
- Окружающая среда. существующая в данный момент совокупность всех внешних условий и воздействий, которым подвержена данная система (или организм) (мос, 14). `36
- (1) the system of surrounding things, conditions or influences, especially affecting the existence or development of someone, something or another system (->habitat), (2) the art of environing, (3) the state of being environed.
- A global context in which to access data.
- A set of roles that are required to run a specific application and the machines to be used for each role.
- One of two deployment destinations within a microsoft azure cloud service: staging or production.
- The totality of surrounding conditions and circumstances affecting growth or development. often the term is applied to the natural features of a geographic area: water, air, and land — including ecological relationships.
- The sum of the physical, chemical, and biological factors that surround an organism.
- Physical surroundings; all that is around you
- Место действия или фон, где происходит действие комикса, включая ландшафты, здания и интерьеры.
Intelligent, английский
Интеллектуальный
Underlying, английский
- A исходный, лежащий в основе; глубинный form, structure, word underspecification n грамматическая неправиль- ность; несоответствие грамматическим пра- вилам (ант. licensing)
- What supports the security or instrument that parties agree to exchange in a derivative contract.
Algorithms, английский
Complex mathematical formulae or rules used to solve complex problems in cctv they are used to achieve digital compression of a video picture.
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Interpretable machine learning (iml), английский
Interpretable machine learning, sometimes also called interpretable ai, describes the creation of models that are inherently interpretable in that they provide their own explanations for their decisions. this approach is preferable to that of explainable machine learning (see definition below) for many reasons including the fact that we should understand what is happening from the beginning in our systems, rather than try to “explain” black boxes after the fact.
Intelligence augmentation (ia), английский
Augmenting means making something greater; in some cases, perhaps it means making it possible to do the same task with less effort. maybe it means letting a human (perhaps teacher) choose to not do all the redundant tasks in a classroom but automate some of them so they can do more things that only a human can do. it may mean other things. there’s a fine line between augmenting and replacing and technologies should be designed so that humans can choose what a system does and when it does it.
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