SUPERVISED MACHINE LEARNING
Keywords:
KEY WORDS. Supervised learning, labeled datasets, distinct folder, neural networks, naïve bayes.Abstract
ABSRTACT. The term "supervised learning," which is also used to refer to supervised machine learning, refers to the process of teaching algorithms to correctly classify data or predict outcomes using labeled datasets. The model modifies its weights as input data is fed into it until it is well fitted. This happens as part of the cross validation procedure to make sure the model does not fit too well or too poorly. A common example of how supervised learning aids companies is by classifying spam in a distinct folder from your email. Neural networks, naive bayes, linear regression, logistic regression, random forests, and support vector machines (SVM) are a few
techniques used in supervised learning.
References
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