贝叶斯定理英文解释翻译、贝叶斯定理的近义词、反义词、例句
英语翻译：
【计】 Bayes theorem
分词翻译：
贝叶斯的英语翻译：
【计】 Bayes
定理的英语翻译：
theorem
【化】 theorem
【医】 theorem
网络扩展解释
贝叶斯定理
贝叶斯定理（Bayes' theorem）是一种概率论定理，它描述了在已知某些条件下，某事件发生的概率。以下是相关英语解释和用法。
英语解释
Bayes' theorem is a mathematical formula for determining conditional probability. It is named after Reverend Thomas Bayes, an 18th-century statistician and theologian.
英文读音
[ˈbeɪz θɪəri]
英文用法
The theorem is often used in statistical analysis and machine learning to update the probability of a hypothesis as more evidence becomes available.
英文例句
- If we apply Bayes' theorem to this problem, we can calculate the probability of the hypothesis being true based on the data we have collected.
- Bayes' theorem helps us make more accurate predictions by incorporating new information into our calculations.
英文近义词
- Conditional probability：条件概率
- Bayesian inference：贝叶斯推断
- Posterior probability：后验概率
英文反义词
- Prior probability：先验概率
- Classical probability：古典概率
英文单词常用度
贝叶斯定理作为一个数学公式，在学术界和数据科学领域应用广泛，在日常口语和写作中并不常见。