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The off-side rule describes syntax of a computer programming language that defines the bounds of a code block via indentation. [1] [2] The term was coined by Peter Landin, possibly as a pun on the offside law in association football. An off-side rule language is contrasted with a free-form language in which indentation has no syntactic meaning ...
v. t. e. The following is a list of the highest-income ZCTAs in the United States. ZCTAs or ZIP Code Tabulation Areas are the census equivalent of ZIP codes used for statistical purposes. The reason why regular ZIP codes are not used is because they are defined by routes rather than geographic boundaries. Thus, they have the tendency to overlap ...
Discounts and allowances are reductions to a basic price of goods or services.. They can occur anywhere in the distribution channel, modifying either the manufacturer's list price (determined by the manufacturer and often printed on the package), the retail price (set by the retailer and often attached to the product with a sticker), or the list price (which is quoted to a potential buyer ...
The impact to employment would be an increase of 0.8 million to 2.3 million by the end of 2009, an increase of 1.2 million to 3.6 million by the end of 2010, an increase of 0.6 million to 1.9 million by the end of 2011, and declining increases in subsequent years as the U.S. labor market reaches nearly full employment, but never negative. [78]
Rewriting sections "pays off" in these circumstances because of a general "rule of thumb" known as the 90/10 law, which states that 90% of the time is spent in 10% of the code, and only 10% of the time in the remaining 90% of the code. So, putting intellectual effort into optimizing just a small part of the program can have a huge effect on the ...
The CME FedWatch Tool, which measures market expectations for Fed fund rate changes, projects a 75% chance the Fed will cut rates to a range of 5.00% to 5.25%, with a 25% chance that the Fed will ...
A large language model (LLM) is a computational model capable of language generation or other natural language processing tasks. As language models, LLMs acquire these abilities by learning statistical relationships from vast amounts of text during a self-supervised and semi-supervised training process.
e. Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect synonymous ...
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