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📘 Supervised Learning
Common Algorithms
Supervised Learning
Supervised Learning
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Overview of supervised learning and key algorithms.
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📘 Supervised Learning
Supervised learning algorithms learn a mapping from inputs
x
x
x
to outputs
y
y
y
using labeled training data. Each example in the training set is a pair
(
x
(
i
)
,
y
(
i
)
)
(x^{(i)}, y^{(i)})
(
x
(
i
)
,
y
(
i
)
)
, and the goal is to learn a function
f
(
x
)
f(x)
f
(
x
)
that generalizes to new unseen examples.
Common Algorithms
Linear Regression
Logistic Regression
These pages dive into the mathematics, intuition, and practical implementation of each method.
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