条件概率 in English translation

• conditional probability
• conditional probabilities

Examples of using 条件概率 in Chinese and their translations into English

Estimators：这些是用于离散/标称域、条件概率估计等的各种数据分布估计。
Estimators: These are various data distribution estimators for discrete/nominal domains, conditional probability estimations, and so on.

这再次反映了贝叶斯推断中的核心概念（边缘分布、条件概率、后验概率）之间的联系。
This, again, reflects the mathematical relationship between key concepts in Bayesian inference(namely marginal probability, conditional probability, and posterior probability).

下图描述了条件概率的整体计算中涉及的每一项：.
The following picture describes each of the terms involved in the overall calculation of the conditional probability.

他提出了最重要的概率定理之一，并以他的名字命名：贝叶斯定理，或条件概率定理。
He developed one of the most important theorems of probability, which coined his name: Bayes' Theorem, or the Theorem of Conditional Probability.

在此课程中，第一节讲了基础的概率课题，比如条件概率、概率分布和贝叶斯定理。
In this course, the first section covers basic topics like probability like conditional probability, probability distribution and Bayes Theorem.

在我们这种情况下，我们有P（sports|averyclosegame），所以使用这个定理我们可以逆转条件概率：.
In our case, we have, so using this theorem we can reverse the conditional probability.

这个性质很重要，因为这裡提出条件概率的自然概念。
This property is important, since it gives rise to the natural concept of conditional probability.

课程包括少量的概率论(例如，你应该知道什么是条件概率)和非常少量的的微积分例如，导数）。
The course involves lightweight probability theory(for example, you should know what a conditional probability is) and very lightweight calculus(for instance, taking a derivative).

这是一个关于成绩A、B、C的CPD。这个条件概率分布我们之前已经看过了，给定聪明程度和难易程度，成绩的概率是多少。
CPD of the grades A, B, and C. So, here is the conditional probability distribution that we have already seen before for the probability of grade given intelligence and difficulty.

条件概率的定义.
Definition of conditional probability.

如何找到条件概率.
How to understand conditional probability.

这种概率叫做条件概率。
This conditional probability is called the likelihood.

应用条件概率来查找相关特征.
Apply conditional probability for finding correlated features.

条件概率本质上是缩减样本空间。
Conditional Probability reduces the sample space based on condition.

条件概率，定义，全概公式，Bayes公式；.
Conditional probability, total probability and Bayes' formula.

P(A|B)是一个条件概率。
P(A|B): This is conditional probability.

我们选择最大化这个条件概率的类。
And we select the class which maximizes this conditional probability.

在本文中，我将会重点讲解条件概率。
In this article, I will focus on conditional probability.

我们选择可以最大化这个条件概率的类别.
And we select the class which maximizes this conditional probability.

使用条件概率的定义，我们可以将后验分布写作：.
Using the definition of conditional probability, we can write the posterior distribution as.