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guess value - ترجمة إلى الروسية
guess value
математика
предполагаемое значение
guess value
оценка
happy guess
![Calling a [[coin toss]] to determine which team will take the offense at a sporting event is a paradigm case of a guess that requires minimal consideration of forces influencing the outcome.](https://commons.wikimedia.org/wiki/Special:FilePath/Adm. Haney flips the coin at the Pro Bowl.jpg?width=200 "Calling a [[coin toss]] to determine which team will take the offense at a sporting event is a paradigm case of a guess that requires minimal consideration of forces influencing the outcome.")
![The exact number of candy pieces in this jar cannot be determined by looking at it, because not all of the pieces are visible. The amount must be guessed or [[estimated]].](https://commons.wikimedia.org/wiki/Special:FilePath/Candy corn in a jar.png?width=200 "The exact number of candy pieces in this jar cannot be determined by looking at it, because not all of the pieces are visible. The amount must be guessed or [[estimated]].")
![Two people playing ''[[Guess Who?]]'' at [[Spiel]] 2008.](https://commons.wikimedia.org/wiki/Special:FilePath/Essen08 - Kdo jsem.jpg?width=200 "Two people playing ''[[Guess Who?]]'' at [[Spiel]] 2008.")
SWIFT CONCLUSION DRAWN FROM DATA DIRECTLY AT HAND
Guessing game; Guessing Game; Draft:Guess; Guess; Guesser; Guesses; Guessed; Guessers; Lucky guess; Happy guess; Wild guess; Random guess; Blind guess; Educated guess; Informed guess; Lucky guesses; Happy guesses; Wild guesses; Random guesses; Blind guesses; Educated guesses; Informed guesses; Guessing-game; Guessing Games; Guessing games
happy guess правильная догадка
تعريف
value added
¦ noun Economics
1. the amount by which the value of an article is increased at each stage of its production, exclusive of initial costs.
2. the addition of features to a basic line or model for which the buyer is prepared to pay extra.
ويكيبيديا
Guess value
In mathematical modeling, a guess value is more commonly called a starting value or initial value. These are necessary for most optimization problems which use search algorithms, because those algorithms are mainly deterministic and iterative, and they need to start somewhere. One common type of application is nonlinear regression.
