Supervised Learning-----Naive Bayes Classification
Naive Bayes Classification Motivation 機器學習中反覆出現的問題是需要將輸入分類爲一些預先存在的類。 請考慮以下示例。 假設我們想要對我們發現的隨機水果進行分類。 在這個例子中，我們有三個現有的水果類別：蘋果，藍莓和椰子。 這些水果中的每一種都有三個我們關心的特徵：大小，重量和顏色。 該信息如圖1所示。 我們觀察到我們發現的那塊水果，並確定它的大小適中，它很重，
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相關文章
- 1. Naive Bayes text classification
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- 8. 2 ways of using Naive Bayes classification for numeric attributes
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