Search results
Results From The WOW.Com Content Network
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
This learning happens in addition to or apart from the instructor's plans and the student's expectations. An example of incidental teaching is when the instructor places a train set on top of a cabinet. If the child points or walks towards the cabinet, the instructor prompts the student to say "train".
Learning theory describes how students receive, process, and retain knowledge during learning. Cognitive, emotional, and environmental influences, as well as prior experience, all play a part in how understanding, or a worldview, is acquired or changed and knowledge and skills retained.
The Learning Company was founded in 8 May 1980 by Ann McCormick; Leslie Grimm; Teri Perl; and Warren Robinett, a former Atari, Inc. employee who had programmed the game Adventure. [2] They saw the Apple II as an opportunity to teach young children concepts of math, reading, science, problem-solving, and thinking skills.
In machine learning, supervised learning (SL) is a paradigm where a model is trained using input objects (e.g. a vector of predictor variables) and desired output values (also known as a supervisory signal), which are often human-made labels.
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 output, such that the learned function can be used to predict the output from future input.
Learning theory (education) – Theory that describes how students receive, process, and retain knowledge during learning Constructivism (philosophy of education) – Theory of knowledge; Radical behaviorism – Term pioneered by B.F. Skinner; Instructional design – Process for design and development of learning resources
Learning to rank [1] or machine-learned ranking (MLR) is the application of machine learning, typically supervised, semi-supervised or reinforcement learning, in the construction of ranking models for information retrieval systems. [2]