Ask HN: Is there a taxonomy of machine learning types?

Posted by ljw1001 on Sunday June 10, 2018 @06:04PM
from the ask-hn dept.

Besides classification and regression, and the unsupervised methods for principle components, clustering and frequent item-sets, what tools are there in the ML toolkit and what kinds of problems are amenable to their use?

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Re:Ask HN: Is there a taxonomy of machine learning types? by PredictorY on Sunday June 10, 2018 @06:19PM (#17280482)

By far the most common is supervised learning (in which there is a target variable). Less common is unsupervised learning (in which there is no target variable, but solution quality still might be measurable). Occasionally, one comes across reinforcement learning (long-term performance is measurable, but little or no short-term feedback is available), and a variety of more special-purpose techniques like association rule discovery / link analysis, anomaly detection, sequential patterns mining, frequent pattern mining and probably several others I've forgotten.

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Re:Ask HN: Is there a taxonomy of machine learning types? by westurner on Sunday June 10, 2018 @08:49PM (#17280968)

Outline of Machine Learning https://en.wikipedia.org/wiki/Outline_of_machine_learning

Machine learning # Applications https://en.wikipedia.org/wiki/Machine_learning#Applications

"machine learning map" image search: https://www.google.com/search?q=machine+learning+map&tbm=isc...

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