The principle of “the wisdom of the crowd” shows that a large group of people with average knowledge on a topic can provide reliable answers to questions such as predicting quantities, spatial reasoning, and general knowledge. The aggregate results cancel out the noise and can often be superior to those of highly knowledgeable experts. The same rule can apply to artificial intelligence applications that rely on machine learning, the branch of AI that predicts outcomes based on mathematical models. In machine learning, crowd wisdom is achieved through ensemble learning. For many problems, the result obtained from an ensemble, a combination of…
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