What is the translation of " BAYESIAN METHODS " in Chinese?

• 贝叶斯方法
• bayesian methods

Examples of using Bayesian methods in English and their translations into Chinese

Decision theory, Bayesian methods.
决策理论，贝叶斯方法。

Apply Bayesian methods to A/B testing.
应用贝叶斯方法进行a/b测试.

The connection between Reinforcement Learning and Bayesian methods.
强化学习和贝叶斯方法之间的联系。

Bayesian Methods for Hackers release!
就是这本书，BayesianMethodsforHackers。!

Probabilistic Programming and Bayesian Methods for Hackers.
就是这本书，BayesianMethodsforHackers。

Variational Bayesian methods are primarily used for two purposes:.
变分贝叶斯方法主要是两个目的:.

Parametric Statistical Tests. nonparametric Bayesian methods.
非参数贝叶斯方法（NonparametricBayesianmethods）.

Why are Bayesian methods useful(in machine learning and everyday life)?
贝叶斯方法为什么（在机器学习和日常生活中）这么有用？随机性到底是什么？?

I really recommend you read about Information Theory, bayesian methods and MaxEnt.
我真的build议你阅读关于信息论，贝叶斯方法和MaxEnt。

Bayesian methods do this by making some assumptions beforehand about the likely distribution of the answer.
贝叶斯方式实现它通过对可能分布的答案作出一些假设。

But as there are no hard statistics on the future, Bayesian methods are all we have.
但由于没有关于未来的艰难统计数据，贝叶斯方法是我们所有的。

Bayesian methods do this by making some assumptions beforehand about the likely distribution of the answer.
贝叶斯方法通过事先对答案的可能分布做出一些假设来做到这一点。

Much other work on learning task relationships for multi-task learning uses Bayesian methods:.
多任务学习中很多学习任务间关系的方法采用的是贝叶斯方法。

Bayesian methods are those that explicitly apply Bayes' Theorem for problems such as classification and regression.
贝叶斯方法是那些显式应用贝叶斯定理的问题,如分类和回归问题.

For instance, one could say that frequentist methods might be easier to apply than Bayesian methods, but more difficult to interpret.
例如，频率论方法比贝叶斯方法更容易实施，然而却更难解释。

Nonetheless, Bayesian methods are widely accepted and used, such as for example in the field of machine learning.
不过贝叶斯方法也广为许多领域接受及应用，例如在机器学习的领域中[8]。

Students jump right into a Python-based curriculum where we explore and learn best practices in statistical analysis, including frequentist and Bayesian methods.
学生直接纳入基于Python的课程，我们在其中探索和学习统计分析的最佳实践，包括频率和贝叶斯方法。

Bayesian methods also provide a natural way of combining very diverse measurement types with typical prior expert data.
贝叶斯方法还提供了非常多样的测量类型与典型的现有专家数据相结合的一种自然的方式。

You will often hear about data scientists using classical statistics, Bayesian methods, machine learning, computational tools and domain knowledge to solve these problems.
你会常常听到数据科学家使用传统统计学、贝叶斯方法、机器学习、计算工具、行业领域知识来回答问题。

Bayesian methods tend to report the posterior mean or median together with posterior intervals, rather than the posterior mode.
Bayesian方法试图算出后验均值或者中值以及posteriorinterval，而不是后验模。

Bayes summer school, we will discuss how Bayesian Methods can be combined with Deep Learning and lead to better results in machine learning applications.
Bayes夏季课程中，授课人将讨论贝叶斯方法如何结合深度学习，并在机器学习应用中实现更好的结果。

Bayesian methods allow for an extremely flexible approach for estimating hierarchical models with a variety different types of dependent variables.
贝叶斯方法允许用于估计分层模型具有多种不同类型的因变量的一个非常灵活的方法。

For very small datasets, Bayesian methods are generally the best in class, although the results can be sensitive to your choice of prior.
对于非常小的数据集，贝叶斯方法通常是类中最好的，尽管结果可能对您的先验选择很敏感。

Like neural networks, Bayesian methods can learn from data, but this breed of machine learning happens in a different way.
跟神经网络一样，贝叶斯方法（bayesianmethods）也可以从数据中学习，但这种类型的机器学习是以一种不同的方式进行的。

These and other computational Bayesian methods have been applied to sophisticated learning algorithms such as Gaussian process models and neural networks.
这些和其它计算的贝叶斯方法已经应用到复杂的学习算法中，比如高斯过程模型和神经网络。

When applied to deep learning, Bayesian methods allow you to compress your models a hundred folds, and automatically tune hyperparameters, saving your time and money.
当贝叶斯方法被应用在深度学习中时，它可以让你将模型压缩100倍，并且自动帮你调参，节省你的时间和金钱。

Why is the Bayesian method interesting to us in machine learning?
为什么贝叶斯方法在机器学习中会让我们有兴趣？?

Therefore, learning Bayesian method is a very good entry point to study Natural Language Processing problem.
因此，学习贝叶斯方法，是研究自然语言处理问题的一个非常好的切入口。

Bayesian method A Bayesian method is a method by which a statistical analysis of an unknown or uncertain quantity is carried out in two steps.
贝叶斯方法：贝叶斯方法是对未知或不确定的量分两步进行统计分析的一种方法。