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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
improve automatically through experience. It is seen as a part of
artificial intelligence...
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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...
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Reinforcement learning is one of
three basic machine learning paradigms,
alongside supervised learning and
unsupervised learning.
Reinforcement learning differs...
- 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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Supervised learning is the
machine learning task of
learning a
function that maps an
input to an
output based on
example input-output pairs. It infers...
- Q-
learning is a model-free
reinforcement learning algorithm to
learn quality of
actions telling an
agent what
action to take
under what cir****stances...
- encomp****es
several domains including learning theory, computer-based training,
online learning, and m-
learning,
where mobile technologies are used. The...
- In
machine learning, a
learning curve (or
training curve)
plots the
optimal value of a model's loss
function for a
training set
against this loss function...
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Federated learning (also
known as
collaborative learning) is a
machine learning technique that
trains an
algorithm across multiple decentralized edge...