What is the translation of " 无监督学习问题 " in English?

• unsupervised learning problem
• unsupervised learning problems

Examples of using 无监督学习问题 in Chinese and their translations into English

GAN将无监督学习问题作为这两者之间的博弈。
It poses the unsupervised learning problem as a game between the two.

无监督学习问题可分为以下两种问题:.
Unsupervised learning problems can be divided into the following two kinds of problem:..

我很喜欢研究无监督学习问题。
I really like working on unsupervised learning problems.

也存在单一类别（single-class）支持向量机，它解决与概率密度估计相关的无监督学习问题。
There are also single-class support vector machines, which solve an unsupervised learning problem related to probability density estimation.

无监督学习问题仅具有输入变量(x)，但没有相应的输出变量。
Unsupervised learning problems possess only the input variables(X) but no corresponding output variables.

前言什么是聚类？聚类可以被认为是最重要的无监督学习问题;
Clustering can be considered the most important unsupervised learning problem;

前言什么是聚类？聚类可以被认为是最重要的无监督学习问题;
Clustering is one of the most important unsupervised learning problems;

如果你拥有的是未标注过的数据，并且希望从中找到有用的结构，那么这就是一个无监督学习问题。
If we have unlabeled data and want to find structure, it's an unsupervised learning problem.

交叉验证也可用于其他有监督学习问题，但无监督学习问题则要采用另外一套评价方法。
Cross validation is used with other supervised learning problems besides classification, but, as you would expect, unsupervised learning problems need to be evaluated differently.

如果我们手上只有无标签数据而且我们想要发现它的结构，这属于无监督学习问题。
If we have unlabeled data and want to find structure, it's an unsupervised learning problem.

如果我们有无标签数据并且想要去发现结构，这是一个无监督学习问题。
If we have unlabeled data and want to find structure, it's an unsupervised learning problem.

前言什么是聚类？聚类可以被认为是最重要的无监督学习问题;
Clustering can be regarded as the most important unsupervised learning problem;

研究人员假定可用于对风格分类(监督式学习问题)的视觉特征也能用于确定艺术影响力(无监督学习问题)。
The researchers hypothesized that visual features useful for style classification(a supervised learning problem) could also be used to determine artistic influences(an unsupervised problem).

研究人员假定可用于对风格分类(监督式学习问题)的视觉特征也能用于确定艺术影响力(无监督学习问题)。
Our hypothesis was that visual features useful for style classification(a supervised learning problem) could also be used to determine influences(an unsupervised problem).

无监督学习问题可以分为三类：.
Unsupervised learning tasks can be broadly divided into 3 categories:.

这个视频，我想开始谈论第二种类型的无监督学习问题，称为降维。
In this video, I would like to start talking about a second type of unsupervised learning problem called dimensionality reduction.

FAIR研究的重点之一聚焦于解决推理、预测、规划、无监督学习等基本问题。
A significant part of FAIR's research focuses on fundamental questions about the keys to reasoning, prediction, planning, and unsupervised learning.

然而,无监督学习的问题是其结果往往是不可预测的。
However, the problem with unsupervised learning is that the outcome is often unpredictable.

所谓生成式对抗网络，它能够解决模型无监督学习的问题。
Called Generative Adversarial Networks, it has enabled models to tackle unsupervised learning.

在机器学习，无监督学习的问题是，在未加标签的数据中，试图找到隐藏的结构。
In machine learning, the problem of unsupervised learning is that of trying to find hidden structure in raw data.

在机器学习中，无监督学习的问题是，在未加标签的数据中，试图找到隐藏的结构。
In Data mining, the problem of unsupervised learning is that of trying to find hidden structure in unlabeled data.

深度生成模型（deepgenerativemodel）是尝试解决机器学习中无监督学习问题的技术之一。
Deep generative models are one of the techniques that attempt to solve the problem of unsupervised learning in machine learning..

我真的很喜欢研究无监督的学习问题。
I really like working on unsupervised learning problems.

有两种类型的无监督机器学习问题：聚类和关联。
There are two types of unsupervised learning problems- clustering and association.

如果您有未标记的数据并且想要查找结构，那么这是一个无监督的学习问题。
If we have unlabeled data and want to find structure, it's an unsupervised learning problem.

Scikit-learn是一款免费的开源软件，可以帮助你解决监督和无监督机器学习问题。
Scikit-learn is a free and open source software that helps you tackle supervised and unsupervised machine learning problems.