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

这贝叶斯号的超级游艇上有 10 船员和 12 乘客。

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

你将学习前沿数学，如信息论、贝叶斯网络和因果推理，而无需计算。

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

这就把我们带到了贝叶斯推理中其他被遗忘的术语。

Like you just said, Bayesian, let's take various theories, right?

就像你刚才说的，贝叶斯，我们来虑各种理论，好吗？

Yeah, you're describing like a Bayesian theory, right?

yeah, 你在描述的就是贝叶斯理论，对吧？

I'm just asking the question, why aren't we applying Bayesian reasoning with confidence intervals?

我只是提出疑问，什么我们不将贝叶斯推理与置信区间结合应用呢？

Yeah, I actually like framing it as a Bayesian problem.

是的，我其实喜欢把它看作一个贝叶斯问题。

But a formal Bayesian layer over something like graffiti would be Very interesting.

但在类似涂鸦库这样的基础上添加一个正式的贝叶斯层将有趣。

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

贝叶斯奖颁给......等等，等等，等等。

So what did this sophisticated Bayesian causal modeling spit out?

那么，这种复杂的贝叶斯因果模型得出了什么结果呢？

So, for our class, you'll be clicking on Course Stock, navigate over to Bayesian Stats.

因此，对于我们的课程，您将单击 Course Stock，导航到 Bayesian Stats。

So that's really, I think, what turned a lot of people Bayesian.

所以, 我认, 这才是真正让很多人变成贝叶斯学派的原因。

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

贝叶斯知识追踪用来解决这个问题。

Let's think in Bayesian terms, right?

让我们用贝叶斯思维来思，对吧？

You use Bayesian reasoning to update.

你使用贝叶斯推理来进行更新。

It's the same formula that you use for Bayesian integration and stuff like that.

这是你用于贝叶斯积分等东西的同一公式。

So adding some sort of Bayesian reasoning.

因此，加入某种贝叶斯推理。

I have to do Bayesian updating on this distribution, I have to get expectation and so on.

我需要对这个分布进行贝叶斯更新，计算期望值等等。

So to be a Bayesian, we need a prior.

因此, 要成贝叶斯主义者, 我们需要先验。

You may need to have a prior if you're doing Bayesian inference.

如果你要做贝叶斯推理，你可能需要有一个先验。