Supervised Machine Learning Once you enter the input variable and assume a specific output, the algorithm prepares the computer by self-analysis to produce the output you want.
Unsupervised Machine Learning There is the output given to the machine. Only input data is provided. The rest of the machine will study the algorithm and determine its outcome.
Reinforcement learning It directly influences how human beings learn from data in their lives. It highlights an algorithm that grows and learns from new situations using a trial-and-error method.
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