监督式学习 - 翻译成英语

• supervised learning
• unsupervised learning

在 中文 中使用 监督式学习 的示例及其翻译为 英语

这就是所谓的监督式学习。
And that's called supervised learning.

监督式学习问题会有两种类型：.
Supervised learning problems can be of two types.

回归和分类都属于监督式学习的示例。
Classification and regression are the examples of supervised learning.

例子：监督式学习有两种形态的模型。
As with supervised learning, there exists two models.

确实，自编码器并不是一种监督式学习；.
And indeed, autoencoders are not a form of supervised learning;

我们发现，几乎所有人都使用监督式学习算法。
We note that almost everyone uses supervised learning algorithms.

我们已经从监督式学习中创造了巨大的商业价值。
We have already created tremendous value from supervised learning.

在监督式学习中，样本的“答案”或“结果”。
In supervised learning, the"answer" or"result" portion of an example.

奥迪A8也采用了监督式学习，被用于实现目标识别。
Even in the new Audi A8, supervised learning is used for object recognition.

监督式学习旨在查找可以应用于分析流程的数据模式。
Supervised learning is intended to find patterns in data that can be applied to an analytics process.

在监督式学习中，你让计算机为你算出这种关系。
In supervised learning, you are letting the computer work out that relationship for you.

监督式学习取决于人为生成的种子集合，教导软件如何定义数据。
Supervised learning depends on a human-generated seed set that teaches the software how it should define data.

在监督式学习中，标签指样本的“答案”或“结果”部分。
In supervised learning, the"answer" or"result" portion of an example.

在监督式学习中，你知道自己想在面积与月租金之间建立联系。
In supervised learning, you know that you're looking for a relationship between square footage and monthly rent.

在监督式学习中，标签指样本的“答案”或“结果”部分。
In supervised learning, the"answer" or"result" portion of an example.

在半监督式和非监督式学习中，在训练期间会使用无标签样本。
In semi-supervised and unsupervised learning, unlabeled examples are used during training.

然后，可以通过监督式学习进一步提高它们在特定任务上的表现。
Their performance on specific tasks can then be further improved using supervised learning.

本书的覆盖面很广，从监督式学习（预测）到非监督式学习都有所涉猎。
The book s coverage is broad, from supervised learning(prediction) to unsupervised learning.

大多数类型的机器学习项目归根结底通常是使用监督式学习方式进行分类或回归。
Most types of Machine Learning projects result in a classification or regression typically using supervised learning approaches.

这意味着我们将无法使用监督式学习技术。
That means we would not be able to use a supervised learning technique.