Discuss the two main types of learning paradigms in machine learning - supervised and unsupervised learning.
What are their fundamental attributes and processes?
What are the primary differences between the two?
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In machine learning, there are mainly two categories of learning techniques corresponding to the nature of the learning that takes place; supervised and unsupervised learning.
In supervised learning, an algorithm, model or technique is trained to learn a concept or rule using a number of known samples or examples. This is known as the ...
This solution discusses the attributes and processes of supervised and unsupervised machine learning techniques while highlighting their differences. One source is included for further investigation of the topic.