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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 the
study of
computer algorithms that can
improve automatically through experience and by the use of data. It is seen as a part...
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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...
- Deep
learning (also
known as deep
structured learning) is part of a
broader family of
machine learning methods based on
artificial neural networks with...
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Reinforcement learning is one of
three basic machine learning paradigms,
alongside supervised learning and
unsupervised learning.
Reinforcement learning differs...
- 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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training programs, or
learning and
development programs. The
learning management system concept emerged directly from e-
Learning.
Learning management systems...
- Q-
learning is a model-free
reinforcement learning algorithm to
learn the
value of an
action in a
particular state. It does not
require a
model of the...
-
alternatives to rote
learning include meaningful learning, ****ociative
learning,
spaced repetition and
active learning. Rote
learning is
widely used in the...
-
action learning,
adventure learning, free-choice
learning,
cooperative learning, service-
learning, and
situated learning.
Experiential learning is often...
