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Learning is the
process of
acquiring new understanding, knowledge, behaviors, skills, values, attitudes, and preferences. The
ability to
learn is possessed...
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Machine learning (ML) is a
field devoted to
understanding and
building methods that let
machines "learn" – that is,
methods that
leverage data to improve...
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learning is part of a
broader family of
machine learning methods,
which is
based on
artificial neural networks with
representation learning.
Learning...
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alternatives to rote
learning include meaningful learning, ****ociative
learning,
spaced repetition and
active learning. Rote
learning is
widely used in the...
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Reinforcement learning is one of
three basic machine learning paradigms,
alongside supervised learning and
unsupervised learning.
Reinforcement learning differs...
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outside the
formal schooling system.
Informal education is
unstructured learning through daily experiences.
Formal and non-formal
education are divided...
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Active learning is a
special case of
machine learning in
which a
learning algorithm can
interactively query a user (or some
other information source) to...
- encomp****es
several domains including learning theory, computer-based training,
online learning, and m-
learning where mobile technologies are used. The...
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Blended learning, also
known as technology-mediated instruction, web-enhanced instruction, or mixed-mode instruction, is an
approach to
education that...
- In
statistics and
machine learning,
ensemble methods use
multiple learning algorithms to
obtain better predictive performance than
could be
obtained from...
