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In machine learning there seem to be various types of learning. I commonly hear about supervised learning, unsupervised learning, and reinforcement learning. However, it is not always clea...
#2: Post edited
by
mr Tsjolder
·
2023-10-14T14:28:17Z (7 months ago)
add link to wikipedia list of approaches and add tag
- In machine learning there seem to be various types of learning.
- I commonly hear about
- - supervised learning,
- - unsupervised learning, and
- - reinforcement learning.
- However, it is not always clear to me how they differ or what paradigm is best used for a particular task.
I can also imagine that these paradigms do not cover all possible tasks.Therefore, my question: What are the difference between these paradigms and what other paradigms should I know about?
- In machine learning there seem to be various types of learning.
- I commonly hear about
- - supervised learning,
- - unsupervised learning, and
- - reinforcement learning.
- However, it is not always clear to me how they differ or what paradigm is best used for a particular task.
- I can also imagine that these paradigms do not cover all possible tasks, as [this list](https://en.wikipedia.org/wiki/Machine_learning#Approaches) and the series topics on that page seem to suggest.
- Therefore, my question: What are the differences between these paradigms and what other paradigms should I know about?
#1: Initial revision
by
mr Tsjolder
·
2023-10-11T14:53:24Z (7 months ago)
What types of learning should I know about?
In machine learning there seem to be various types of learning. I commonly hear about - supervised learning, - unsupervised learning, and - reinforcement learning. However, it is not always clear to me how they differ or what paradigm is best used for a particular task. I can also imagine that these paradigms do not cover all possible tasks. Therefore, my question: What are the difference between these paradigms and what other paradigms should I know about?