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e. In computer science, online machine learning is a method of machine learning in which data becomes available in a sequential order and is used to update the best predictor for future data at each step, as opposed to batch learning techniques which generate the best predictor by learning on the entire training data set at once.
A massive open online course ( MOOC / muːk /) or an open online course is an online course aimed at unlimited participation and open access via the Web. [1] In addition to traditional course materials, such as filmed lectures, readings, and problem sets, many MOOCs provide interactive courses with user forums or social media discussions to ...
Rapid learning. Rapid learning (or Rapid eLearning Development) has traditionally referred to a methodology to build e-learning courses rapidly. [1] Typically the author will create slides in PowerPoint, record audio and video narration on top of the slides, and then use software to add tests, or even collaboration activities between the slides.
Online tutoring is the process of tutoring in an online, virtual, or networked, environment, in which teachers and learners participate from separate physical locations. Aside from space, participants can also be separated by time. Online tutoring is practiced using many different approaches for distinct sets of users.
Digital learning is learning that is supported by technology. [1] It encompasses any type of learning that is accompanied by technology or by instructional practice that makes effective use of technology. It includes a wide array of practices, including blended and virtual learning. A variety of names began to be used to denote education ...
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]
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