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Explain how useful and reliable bayes’ theorem is according to you in the machine learning context?
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Answer / Birbal Singh
Bayes' Theorem, a fundamental concept in probability theory, plays a significant role in machine learning as it provides a way to update the probabilities of hypotheses based on new evidence. It's particularly useful in classification problems and naive Bayes algorithms. However, its reliability depends on the assumptions made (e.g., independence among features), and it may not perform well with complex relationships or high-dimensional data.
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