You'll learn cutting edge mathematics like information theory, Bayesian networks, and causal inference without calculations getting in the way.

你将习前沿，如信息论、叶斯网络和因果推理，而无需计算。

The superyacht known as the Bayesian had a crew of 10 people and 12 passengers.

这艘名为叶斯号的超级游艇上有 10 名船员和 12 名乘客。

Which takes us to the other forgotten terms in Bayesian inference.

这就把我们带到了叶斯推理中其他被遗忘的术语。

A common technique for figuring this out is Bayesian knowledge tracing.

叶斯知识追踪常用来解决这个问题。

The Bayesian Award goes to... Wait, wait, wait.

叶斯奖颁给......等等，等等，等等。

So not quite yet, but that computation explains this explosion in the usage of Bayesian statistics.

所以在还不完全是，但这种计算解释了叶斯统计使用的爆炸式增长。

The second is gonna bring in ideas of Bayesian updating and how to work with probabilities over continuous values.

第二个是引入叶斯更新的想法以及如何处理连续值的概率。

And this is a major point of confusion for most students that first take a Bayesian class.

对于大多第一次参加叶斯课程的生来说，这是一个主要的困惑点。

Our goal is to estimate P in a Bayesian fashion.

我们的目标是以叶斯的方式估计 P。

I like to think about it as a Bayesian thing.

我喜欢把它想象成叶斯的东西。

Similarly, Bayesian knowledge tracing updates its estimate of the students’ knowledge by observing the correctness of each interaction using that skill.

同样，叶斯知识追踪通过观察使用该技能的每次交互的正确性来更新其对生知识的估计。

So the Bayesian says don't even add a full sample to each side.

因此, 叶斯模型说, 甚至不要在每边都添加一个完整的样本。

So basic Bayesian constructions, how to form likelihood priors, what are the priors, which ones do we use and why.

那么基本的叶斯结构， 如何形成似然先验，什么是先验， 我们使用哪些先验以及为什么。

Because this example shows you that my Bayesian inference has very good Frequentist properties.

因为这个例子告诉你, 我的叶斯推断具有非常好的频率特性。

So there's been a lot of fights over is this thing Bayesian right here or is it not?

所以有很多争论, 到底是叶斯理论还是不是?

I appreciate your Bayesian empathy right here, but I do mean to put X bar in here.

我很欣赏你在这里的叶斯同理心，但我确实想在这里放 X 条。

The odds framing also makes things really  nice if you want to do multiple different Bayesian updates based on multiple pieces of  evidence.

如果您想根据多个证据进行多个不同的叶斯更新，赔率框架也会让事情变得非常好。

And so confidence intervals and Bayesian intervals, which are called credible intervals, are not unique.

因此，置信区间和叶斯区间（称为可信区间）并不是唯一的。

And so, I've co-located dates in historical documents with the usage of the word days, or Bayesian, or something of the sort.

因此，我在历史文献中将日期与单词 days、Bayesian 或类似词的用法放在一起。

So Bayesian would say I'm 95% probable.

So Bayesian会说我有95%的可能性。