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A learning curve is a graphical representation of the relationship between how proficient people are at a task and the amount of experience they have. Proficiency (measured on the vertical axis) usually increases with increased experience (the horizontal axis), that is to say, the more someone, groups, companies or industries perform a task, the better their performance at the task.
Robot learning is a research field at the intersection of machine learning and robotics. It studies techniques allowing a robot to acquire novel skills or adapt to its environment through learning algorithms.
Zero-shot learning. Zero-shot learning ( ZSL) is a problem setup in deep learning where, at test time, a learner observes samples from classes which were not observed during training, and needs to predict the class that they belong to. The name is a play on words based on the earlier concept of one-shot learning, in which classification can be ...
Visual learning is a learning style among the learning styles of Neil Fleming's VARK model in which information is presented to a learner in a visual format. Visual learners can utilize graphs, charts, maps, diagrams, and other forms of visual stimulation to effectively interpret information. The Fleming VARK model also includes Kinesthetic ...
Validated learning. Validated learning is used in scrum. The term was proposed by Eric Ries in 2011. [1] It is a unit of progress process and describes conclusions generated by trying out an initial idea and then measuring it against potential customers to validate the effect. Each test of an idea is a single iteration in a larger process of ...
Known informally as " Charlie on the MTA ", the song's lyrics tell an absurd tale of a man named Charlie trapped on Boston 's subway system, which was then known as the Metropolitan Transit Authority (MTA). The song was originally recorded as a mayoral campaign song for Progressive Party candidate Walter A. O'Brien.
Learning engineering. Learning Engineering is the systematic application of evidence-based principles and methods from educational technology and the learning sciences to create engaging and effective learning experiences, support the difficulties and challenges of learners as they learn, and come to better understand learners and learning.
v. t. e. In machine learning and statistics, the learning rate is a tuning parameter in an optimization algorithm that determines the step size at each iteration while moving toward a minimum of a loss function. [1] Since it influences to what extent newly acquired information overrides old information, it metaphorically represents the speed at ...