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datascienceglossary.org
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Definitions (85)
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sql
The ISO standard query language for relational databases. Variations of this extremely popular language are often available for data storage systems that aren't strictly relational; watch for the [..]
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algorithm
A series of repeatable steps for carrying out a certain type of task with data. As with data structures, people studying computer science learn about different algorithms and their suitability for var [..]
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angularjs
An open-source JavaScript library maintained by Google and the AngularJS community that lets developers create what are known as Single [web] Page Applications. AngularJS is popular with data scientis [..]
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artificial intelligence
Also, AI. The ability to have machines act with apparent intelligence, although varying definitions of “intelligence” lead to a range of meanings for the artificial variety. In AI’s early days in the [..]
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backpropagation
Also, backprop. An algorithm for iteratively adjusting the weights used in a neural network system. Backpropagation is often used to implement gradient descent. See also neural network, gradient desce [..]
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bayes' theorem
Also, Bayes' Rule. An equation for calculating the probability that something is true if something potentially related to it is true. If P(A) means “the probability that A is true” and P(A|B) mea [..]
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bayesian network
Also, Bayes net. “Bayesian networks are graphs that compactly represent the relationship between random variables for a given problem. These graphs aid in performing reasoning or decision making in th [..]
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bias
In machine learning, “bias is a learner’s tendency to consistently learn the same wrong thing. Variance is the tendency to learn random things irrespective of the real signal.... It’s easy to avoid ov [..]
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big data
As this has become a popular marketing buzz phrase, definitions have proliferated, but in general, it refers to the ability to work with collections of data that had been impractical before because of [..]
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binomial distribution
A distribution of outcomes of independent events with two mutually exclusive possible outcomes, a fixed number of trials, and a constant probability of success. This is a discrete probability distribu [..]
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