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术语。

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

贝叶斯知识追踪常用来解决这个问。

Bayesian inference, probabilistic models, and probabilistic graphical models are employed to handle uncertainty and make predictions.

贝叶斯推理、概率模型和概率图形模型被用来处理不确定性和做出预测。

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

同样，贝叶斯知识追踪通过观察使用该每次交互正确性来更新其对学生知识估计。

Although there are other approaches, intelligent tutoring systems often use Bayesian knowledge tracing to support what’s called mastery learning, where students practice skills, until they’re deeply understood.

尽管还有其他方法，但智辅导系统通常使用贝叶斯知识追踪来支持所谓掌握学习，学生练习，直到他们被深刻理解。

The last probability that Bayesian knowledge tracing calculates is the probability that the student started off the problem not knowing how to do the step, but learned how to do it as a result of working through the problem.

Bayesian knowledge tracing 计算最后一个概率是学生开始做时不知道该步骤如何做，但在解决问后学会了如何做概率。

ANDY COOPER: If you work out the number of possible combinations of the components in the experiment, it's something like 98 million, so the robot uses an optimisation algorithm using a method called Bayesian optimisation to navigate that chemical space.

ANDY COOPER：如果你计算出实验中成分可组合数量，大约有 9800 万种， 因此机器人使用一种优化算法， 使用一种称为贝叶斯优化方法来导航该化学空间。