This time we are looking on the crossword clue for: Turn aside.
it’s A 10 letters crossword puzzle definition. See the possibilities below.
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Possible Answers: DETER, AVERT, SKEW, VEER, SPURN, SHUNT, SWERVE, PARRY, DIVERT, DEVIATE, DEFLECT.
Last seen on: –LA Times Crossword, Tue, Apr 4, 2023
–Thomas Joseph – King Feature Syndicate Crossword – Oct 27 2022
–LA Times Crossword 29 Dec 21, Wednesday
–LA Times Crossword 6 Nov 21, Saturday
–Thomas Joseph – King Feature Syndicate Crossword – Dec 31 2019
–The Sun – Two Speed Crossword – Nov 6 2019
–Premier Sunday – King Feature Syndicate Crossword – Mar 3 2019
–NY Times Crossword 3 Dec 18, Monday
Random information on the term “AVERT”:
This category has only the following subcategory.
The following 98 pages are in this category, out of 98 total. This list may not reflect recent changes (learn more).
Random information on the term “SKEW”:
Skewness risk in financial modeling is the risk that results when observations are not spread symmetrically around an average value, but instead have a skewed distribution. As a result, the mean and the median can be different. Skewness risk can arise in any quantitative model that assumes a symmetric distribution (such as the normal distribution) but is applied to skewed data.
Ignoring skewness risk, by assuming that variables are symmetrically distributed when they are not, will cause any model to understate the risk of variables with high skewness.
Skewness risk plays an important role in hypothesis testing. The analysis of variance, the most common test used in hypothesis testing, assumes that the data is normally distributed. If the variables tested are not normally distributed because they are too skewed, the test cannot be used. Instead, nonparametric tests can be used, such as the Mann–Whitney test for unpaired situation or the sign test for paired situation.
Random information on the term “PARRY”:
The history of natural language processing describes the advances of natural language processing (Outline of natural language processing). There is some overlap with the history of machine translation and the history of artificial intelligence.
The history of machine translation dates back to the seventeenth century, when philosophers such as Leibniz and Descartes put forward proposals for codes which would relate words between languages. All of these proposals remained theoretical, and none resulted in the development of an actual machine.
The first patents for “translating machines” were applied for in the mid-1930s. One proposal, by Georges Artsrouni was simply an automatic bilingual dictionary using paper tape. The other proposal, by Peter Troyanskii, a Russian, was more detailed. It included both the bilingual dictionary, and a method for dealing with grammatical roles between languages, based on Esperanto.
In 1950, Alan Turing published his famous article “Computing Machinery and Intelligence” which proposed what is now called the Turing test as a criterion of intelligence. This criterion depends on the ability of a computer program to impersonate a human in a real-time written conversation with a human judge, sufficiently well that the judge is unable to distinguish reliably — on the basis of the conversational content alone — between the program and a real human.