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Supervised learning. Supervised learning (SL) is a paradigm in machine learning where input objects (for example, a vector of predictor variables) and a desired output value (also known as a human-labeled supervisory signal) train a model. The training data is processed, building a function that maps new data to expected output values. [1]
Digital Media in education is measured by a person's ability to access, analyze, evaluate, and produce media content and communication in a variety of forms. [1] These media may involve incorporating multiple digital softwares, devices, and platforms as a tool for learning. The use of digital media in education is growing rapidly in today's age ...
Weak supervision is a paradigm in machine learning, the relevance and notability of which increased with the advent of large language models due to large amount of data required to train them. It is characterized by using a combination of a small amount of human- labeled data (exclusively used in more expensive and time-consuming supervised ...
Machine learningand data mining. Unsupervised learning is a framework in machine learning where, in contrast to supervised learning, algorithms learn patterns exclusively from unlabeled data. [1] Other frameworks in the spectrum of supervisions include weak- or semi-supervision, where a small portion of the data is tagged, and self-supervision.
"Triple-product" business model of digital media platforms. [7]Digital media platforms like YouTube work through a triple-product business model in which platforms provide information and entertainment (infotainment) to the public often at no cost, while simultaneously capturing their attention, and also collecting user data to sell to advertisers. [7]
A support-vector machine is a supervised learning model that divides the data into regions separated by a linear boundary. Here, the linear boundary divides the black circles from the white. Supervised learning algorithms build a mathematical model of a set of data that contains both the inputs and the desired outputs. [47]
A logic model for virtual course implementation. Digital pedagogy is the study and use of contemporary digital technologies in teaching and learning. [ 1 ] Digital pedagogy may be applied to online, hybrid, and face-to-face learning environments. Digital pedagogy also has roots in the theory of constructivism.
From the perspective of statistical learning theory, supervised learning is best understood. [4] Supervised learning involves learning from a training set of data. Every point in the training is an input–output pair, where the input maps to an output. The learning problem consists of inferring the function that maps between the input and the ...