Machine Learning Types by Task

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Classifications

Clustering

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Predictions

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bias-variance trade-off

Bias are the simplifying assumptions made by a model to make the target function easier to learn.

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parametric machine learning algorithms

Assumptions can greatly simplify the learning process, but can also limit what can be learned.

Algorithms that simplify the function to a known form are called parametric machine learning algorithms.

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nonparametric machine learning algorithms

Algorithms that do not make strong assumptions about the form of the mapping function are called nonparametric machine learning algorithms.

By not making assumptions, they are free to learn any functional form from the training data.

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