Μετάφραση και ανάλυση λέξεων από την τεχνητή νοημοσύνη ChatGPT
Σε αυτήν τη σελίδα μπορείτε να λάβετε μια λεπτομερή ανάλυση μιας λέξης ή μιας φράσης, η οποία δημιουργήθηκε χρησιμοποιώντας το ChatGPT, την καλύτερη τεχνολογία τεχνητής νοημοσύνης μέχρι σήμερα:
- πώς χρησιμοποιείται η λέξη
- συχνότητα χρήσης
- χρησιμοποιείται πιο συχνά στον προφορικό ή γραπτό λόγο
- επιλογές μετάφρασης λέξεων
- παραδείγματα χρήσης (πολλές φράσεις με μετάφραση)
- ετυμολογία
description$20530$ - translation to ελληνικό
![open source statistical package]]](https://commons.wikimedia.org/wiki/Special:FilePath/Gretl screenshot.png?width=200 "open source statistical package]]")
![[[Scatter plot]]s and [[line chart]]s are used in [[descriptive statistics]] to show the observed relationships between different variables, here using the [[Iris flower data set]].](https://commons.wikimedia.org/wiki/Special:FilePath/Iris Pairs Plot.svg?width=200 "[[Scatter plot]]s and [[line chart]]s are used in [[descriptive statistics]] to show the observed relationships between different variables, here using the [[Iris flower data set]].")
![Bernoulli's ''[[Ars Conjectandi]]'' was the first work that dealt with [[probability theory]] as currently understood.](https://commons.wikimedia.org/wiki/Special:FilePath/Jakob Bernoulli.jpg?width=200 "Bernoulli's ''[[Ars Conjectandi]]'' was the first work that dealt with [[probability theory]] as currently understood.")
![[[Karl Pearson]], a founder of mathematical statistics.](https://commons.wikimedia.org/wiki/Special:FilePath/Karl Pearson, 1910.jpg?width=200 "[[Karl Pearson]], a founder of mathematical statistics.")
.svg?width=200 "A least squares fit: in red the points to be fitted, in blue the fitted line.")
![[[Confidence intervals]]: the red line is true value for the mean in this example, the blue lines are random confidence intervals for 100 realizations.](https://commons.wikimedia.org/wiki/Special:FilePath/NYW-confidence-interval.svg?width=200 "[[Confidence intervals]]: the red line is true value for the mean in this example, the blue lines are random confidence intervals for 100 realizations.")
![critical region]] is the set of values to the right of the observed data point (observed value of the test statistic) and the [[p-value]] is represented by the green area.](https://commons.wikimedia.org/wiki/Special:FilePath/P-value in statistical significance testing.svg?width=200 "critical region]] is the set of values to the right of the observed data point (observed value of the test statistic) and the [[p-value]] is represented by the green area.")
![The [[confounding variable]] problem: ''X'' and ''Y'' may be correlated, not because there is causal relationship between them, but because both depend on a third variable ''Z''. ''Z'' is called a confounding factor.](https://commons.wikimedia.org/wiki/Special:FilePath/Simple Confounding Case.svg?width=200 "The [[confounding variable]] problem: ''X'' and ''Y'' may be correlated, not because there is causal relationship between them, but because both depend on a third variable ''Z''. ''Z'' is called a confounding factor.")
Ορισμός
Βικιπαίδεια
Description logics (DL) are a family of formal knowledge representation languages. Many DLs are more expressive than propositional logic but less expressive than first-order logic. In contrast to the latter, the core reasoning problems for DLs are (usually) decidable, and efficient decision procedures have been designed and implemented for these problems. There are general, spatial, temporal, spatiotemporal, and fuzzy description logics, and each description logic features a different balance between expressive power and reasoning complexity by supporting different sets of mathematical constructors.
DLs are used in artificial intelligence to describe and reason about the relevant concepts of an application domain (known as terminological knowledge). It is of particular importance in providing a logical formalism for ontologies and the Semantic Web: the Web Ontology Language (OWL) and its profiles are based on DLs. The most notable application of DLs and OWL is in biomedical informatics where DL assists in the codification of biomedical knowledge.
