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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 of
study in
artificial intelligence concerned with the
development and
study of
statistical algorithms that can learn...
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Reinforcement learning is one of the
three basic machine learning paradigms,
alongside supervised learning and
unsupervised learning. Q-
learning at its simplest...
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Unsupervised learning is a
framework in
machine learning where, in
contrast to
supervised learning,
algorithms learn patterns exclusively from unlabeled...
- programs,
materials or
learning and
development programs. The
learning management system concept emerged directly from e-
Learning.
Learning management systems...
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Federated learning (also
known as
collaborative learning) is a
machine learning technique focusing on
settings in
which multiple entities (often referred...
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LinkedIn Learning is an
American online learning platform. It
provides video courses taught by
industry experts in software, creative, and
business skills...
- In
statistics and
machine learning,
ensemble methods use
multiple learning algorithms to
obtain better predictive performance than
could be
obtained from...
- Deep
learning is a
subset of
machine learning that
focuses on
utilizing neural networks to
perform tasks such as classification, regression, and representation...
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Active learning is a
special case of
machine learning in
which a
learning algorithm can
interactively query a
human user (or some
other information source)...
