Naive, in general terms, refers to a lack of experience, wisdom, or judgment. It can describe someone who is innocent, unsophisticated, or unaware of the complexities of the world. In various fields, "naive" takes on more specific meanings:
<a href="https://www.wikiwhat.page/kavramlar/Naive%20Bayes%20Classifier">Naive Bayes Classifier</a>: In machine learning, this is a simple probabilistic classifier based on applying Bayes' theorem with strong (naive) independence assumptions between the features. Despite its simplicity, it can be surprisingly effective for various classification tasks.
Naive Set Theory: A non-axiomatic approach to set theory that uses the natural language definitions of sets and set membership. While intuitive, it is susceptible to paradoxes like <a href="https://www.wikiwhat.page/kavramlar/Russell's%20Paradox">Russell's Paradox</a>.
Naive Physics: An area of artificial intelligence concerned with encoding common-sense knowledge about the physical world (e.g., gravity, forces, object interactions) into computers.
In everyday language, calling someone "naive" is often used to imply that they are easily fooled or lack a realistic understanding of a situation. This is related to the concept of <a href="https://www.wikiwhat.page/kavramlar/Gullibility">Gullibility</a>.
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