Читать книгу Machine Learning For Dummies - John Paul Mueller, John Mueller Paul, Luca Massaron - Страница 46

The Bayesians use various statistical methods to solve problems. Given that statistical methods can create more than one apparently correct solution, the choice of a function becomes one of determining which function has the highest probability of succeeding. For example, when using these techniques, you can accept a set of symptoms as input and decide the probability that a particular disease will result from the symptoms as output. Given that multiple diseases have the same symptoms, the probability is important because a user will see some in which a lower probability output is actually the correct output for a given circumstance.

Ultimately, this tribe supports the idea of never quite trusting any hypothesis (a result that someone has given you) completely without seeing the evidence used to make it (the input the other person used to make the hypothesis). Analyzing the evidence proves or disproves the hypothesis that it supports. Consequently, it isn’t possible to determine which disease someone has until you test all the symptoms. One of the most recognizable outputs from this tribe is the spam filter.