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A learning management system ( LMS) or virtual learning environment ( VLE) is a software application for the administration, documentation, tracking, reporting, automation, and delivery of educational courses, training programs, materials or learning and development programs. [1] The learning management system concept emerged directly from e ...
Logan (film) Logan is a 2017 American superhero film starring Hugh Jackman as the titular character. It is the tenth film in the X-Men film series and the third and final installment in the Wolverine trilogy, following X-Men Origins: Wolverine (2009) and The Wolverine (2013). The film, which takes inspiration from the " Old Man Logan " comics ...
The Bhopal disaster or Bhopal gas tragedy was a chemical accident on the night of 2–3 December 1984 at the Union Carbide India Limited (UCIL) pesticide plant in Bhopal, Madhya Pradesh, India. In what is considered the world's worst industrial disaster, [3] over 500,000 people in the small towns around the plant were exposed to the highly ...
Techniques for analyzing data, such as A/B testing, machine learning, and natural language processing; Big data technologies, like business intelligence, cloud computing, and databases; Visualization, such as charts, graphs, and other displays of the data; Multidimensional big data can also be represented as OLAP data cubes or, mathematically ...
In particular, three data sets are commonly used in different stages of the creation of the model: training, validation, and test sets. The model is initially fit on a training data set, [3] which is a set of examples used to fit the parameters (e.g. weights of connections between neurons in artificial neural networks) of the model. [4]
Machine learningand data mining. In machine learning, the perceptron (or McCulloch–Pitts neuron) is an algorithm for supervised learning of binary classifiers. A binary classifier is a function which can decide whether or not an input, represented by a vector of numbers, belongs to some specific class. [1]
Double-loop learning entails the modification of goals or decision-making rules in the light of experience. The first loop uses the goals or decision-making rules, the second loop enables their modification, hence "double-loop". Double-loop learning recognises that the way a problem is defined and solved can be a source of the problem. [1]
In computational learning theory, probably approximately correct ( PAC) learning is a framework for mathematical analysis of machine learning. It was proposed in 1984 by Leslie Valiant. [1] In this framework, the learner receives samples and must select a generalization function (called the hypothesis) from a certain class of possible functions.