Glossary Archive

N-Gram

N-grams are widely used in natural language processing (NLP) and computational linguistics to analyze and model text data. They can be generated by dividing a text into overlapping sequences of words or characters, where "n" indicates the number of items in each sequence. For instance, a bigram is a two-item sequence, while a trigram consists...


n1

In the context of casino games, n1 typically represents the foundational bet that a player makes when starting a round. This bet can vary depending on the specific game being played, such as blackjack, roulette, or slots. Understanding the significance of n1 is crucial, as it sets the tone for the player's strategy and potential...


Naked Call

In a naked call scenario, the seller collects the premium from selling the call options upfront, but they do not own the shares of the underlying stock. This approach is considered risky because if the price of the underlying asset rises above the strike price, the seller is obligated to provide the asset at the...


Naked Option

In a naked option strategy, a trader sells options contracts—either naked calls or naked puts—without holding the corresponding underlying asset. This approach can lead to substantial losses if the market moves against the trader. For instance, if a trader sells a naked call option, they are obligated to deliver the underlying asset if the option...


Naked Put

In this strategy, the seller is obligated to buy the underlying stock at the strike price if the option is exercised, but since they don't own the stock, the potential risk is high. If the stock price falls below the strike price, the seller may be forced to purchase the stock at a loss. The...


NER

Named Entity Recognition works by analyzing text to extract entities that hold specific meanings. It employs machine learning algorithms and linguistic rules to distinguish between different types of entities and classify them accordingly. For instance, NER can identify "Apple" as an organization, "New York" as a location, and "October 1st" as a date. The process...


Named Entity Recognition

Named Entity Recognition works by analyzing text to extract entities that hold specific meanings. It employs machine learning algorithms and linguistic rules to distinguish between different types of entities and classify them accordingly. For instance, NER can identify "Apple" as an organization, "New York" as a location, and "October 1st" as a date. The process...


Names

In sports betting, names often indicate the nature of the bet being placed. For instance, a "moneyline" bet involves selecting a team to win a game outright, while a "point spread" bet requires a bettor to account for the margin of victory. Bettors can also encounter terms like "parlay" (combining multiple bets into one), "teaser"...


Nameserver

Nameservers play a crucial role in the Domain Name System (DNS), which acts as the phonebook of the internet, linking human-friendly domain names like www.example.com to their corresponding numerical IP addresses. When a user enters a domain name in their browser, the request is sent to a nameserver, which looks up the IP address associated...


Nameservers

When you type a web address into your browser, the request is sent to a nameserver, which queries a database to find the corresponding IP address for that domain. The nameserver acts as a directory, directing the traffic to the correct server where the website is hosted. This process is crucial for the functioning of...