Welcome to the staging ground for new communities! Each proposal has a description in the "Descriptions" category and a body of questions and answers in "Incubator Q&A". You can ask questions (and get answers, we hope!) right away, and start new proposals.
Are you here to participate in a specific proposal? Click on the proposal tag (with the dark outline) to see only posts about that proposal and not all of the others that are in progress. Tags are at the bottom of each post.
Post History
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 (about 1 year 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 (about 1 year 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?