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Super Simple Songs is a Canadian YouTube channel and streaming media show created by Devon Thagard and Troy McDonald. [2] They publish animated videos of both traditional nursery rhymes and their own original children's songs. As of April 30, 2011, it is the 105th most-subscribed YouTube channel in the world and the second most-subscribed ...
Skidamarink. " Skidamarink " or " Skinnamarink " [1] is a popular preschool sing-along song from North America. [citation needed] Originally titled " Skid-dy-mer-rink-adink-aboomp " [2] or " Skiddy-Mer-Rink-A-Doo ", [3] the initial version of the song was written by Felix F. Feist (lyrics) and Al Piantadosi (music) for the 1910 Charles ...
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 human-labeled supervisory signal) train a model. The training data is processed, building a function that maps new data on expected output values. [1]
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Approximate number system. Parallel individuation system. v. t. e. Overview of the forms and functions of memory. Memory is the faculty of the mind by which data or information is encoded, stored, and retrieved when needed. It is the retention of information over time for the purpose of influencing future action. [1]
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data and thus perform tasks without explicit instructions. [1] Recently, artificial neural networks have been able to surpass many previous approaches in ...
Treasure Mountain! is the first of four games in The Learning Company's "Treasure" series along with Treasure Cove!, Treasure MathStorm!, and Treasure Galaxy!. The "Treasure" series is a subgroup of the company's Super Seekers games. All the games in this series are math and reading comprehension oriented educational adventure games aimed at ...
The algorithms within the ensemble learning model are generally referred as "base models", "base learners" or "weak learners" in literature. The base models can be constructed using a single modelling algorithm or several different algorithms. The idea is train a diverse collection of weak performing models to the same modelling task.
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