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[[Supervised learning]] involves the construction of a [[model]] from [[input]] data points and their associated [[output]] labels or classes. Machine learning [[algorithm]] utilizes this information to construct an algorithm that can accurately predict the class of new data points or inputs. Ultimately, the goal is to minimize the discrepancy between predicted classes and actual ones.
[[Supervised learning]] involves the construction of a [[model]] from [[input]] data points and their associated [[output]] labels or classes. Machine learning [[algorithm]] utilizes this information to construct an algorithm that can accurately predict the class of new data points or inputs. Ultimately, the goal is to minimize the discrepancy between predicted classes and actual ones.


[[Unsupervised learning]] involves no output labels or classes; rather, the goal is to uncover patterns or clusters in data based on similarities or differences. In this scenario, a machine learning algorithm may group data points into distinct classes or clusters based on certain [[features]] or characteristics.
[[Unsupervised learning]] involves no output labels or classes; rather, the goal is to uncover patterns or clusters in data based on similarities or differences. In this scenario, a machine learning algorithm may group data points into distinct classes or clusters based on certain [[feature]]s or characteristics.


==Types of classes==
==Types of classes==
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Machine learning treats classes as labels or categories that we give things in order to better comprehend them. Just as we group toys based on color, emails, pictures of animals or houses can also be classified according to characteristics such as spam/not spam status, animal species (cats/dogs/birds), and house sizes - small/medium/large.
Machine learning treats classes as labels or categories that we give things in order to better comprehend them. Just as we group toys based on color, emails, pictures of animals or houses can also be classified according to characteristics such as spam/not spam status, animal species (cats/dogs/birds), and house sizes - small/medium/large.


[[Category:Terms]] [[Category:Machine learning terms]]
[[Category:Terms]] [[Category:Machine learning terms]] [[Category:not updated]]