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In The Machine Learning Context, How Useful And Reliable Bayes’ Theorem Is According To You? |
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Answer» This theorem defines the PROBABILITY of any EVENT in machine learning. It represents a fixed value which is actually a MATHEMATICAL calculation. This value is GENERALLY obtained by dividing the true positive rate divided by the false positive rate. In machine learning, some of the very complex problems and challenges can easily be solved and eliminated with the HELP of this theorem. Most of the time results provided by it are highly accurate and can easily be trusted. This theorem defines the probability of any event in machine learning. It represents a fixed value which is actually a mathematical calculation. This value is generally obtained by dividing the true positive rate divided by the false positive rate. In machine learning, some of the very complex problems and challenges can easily be solved and eliminated with the help of this theorem. Most of the time results provided by it are highly accurate and can easily be trusted. |
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