What is the translation of " SUPERVISED MACHINE LEARNING " in Chinese?

• 监督机器学习

Examples of using Supervised machine learning in English and their translations into Chinese

Supervised machine learning requires labeled data.
监督式机器学习需要标记数据.

This is what we usually estimate in supervised machine learning.
这是我们通常在监督机器学习中所估计的。

Supervised machine learning is basic and strict.
有监督机器学习具有基础性和严格性。

Both these concepts are an important aspect of supervised machine learning techniques.
这两个概念都是监督机器学习技术的一个重要方面。

Supervised machine learning is the most common form of machine learning..
监督机器学习是机器学习最常见的形式。

You will learn how to implement some of the most popular supervised machine learning algorithms.
你将学到如何实现一些最流行的监督机器学习算法。

This is called supervised machine learning: when there is pre-labeled training data.
这叫做监督机器学习：当有预先标记的训练数据时。

Today, when we talk about AI we refer to its second wave, which is based on supervised machine learning.
今天我们讲的AI，指的是第二波，即以人监督下的机器学习为基础的AI。

We employ supervised machine learning methods for fusing distinct information sources.
我们采用监督机器学习方法来融合不同的信息源。

Classification When the data is used to predict a category, supervised machine learning task is called classification.
分类当使用这些数据来预测某一类别，监管式机器学习任务被称为“分类”。

Basically, it is a supervised Machine Learning algorithm for classification or regression problems.
基本上，它是用于分类或回归问题的监督机器学习算法。

This is precisely the way machine learning operates, sometimes with some extra"educational" input(supervised machine learning).
这恰恰是机器学习的运行方式，有时还需要一些额外的教育输入(监督的机器学习)。

What is supervised machine learning and how does it relate to unsupervised machine learning?.
什么是监督式机器学习，它与和非监督式机器学习有什么关联呢？?

This way of learning(called reinforcement learning) is quite different from the curve-fitting approaches of traditional supervised machine learning.
这种学习方法（称为强化学习）与传统的有监督机器学习的曲线拟合方法有很大的不同。

SVM is a supervised machine learning algorithm which can be used for classification or regression problems.
SVM是一种有监督的机器学习算法，可用于分类或回归问题。

In applications like these(and many others), researchers often utilize a set of supervised machine learning techniques called learning-to-rank.
在诸如此类的应用中（以及其他许多应用中），研究人员经常使用一系列有监督的机器学习技术，称为顺序学习。

Supervised machine learning is the most widely used learning approach when it comes to fraud detection.
有监督机器学习模式是反欺诈检测中最为广泛使用的机器学习模式。

The Iris classification problem is an example of supervised machine learning: the model is trained from examples that contain labels.
鸢尾花分类问题是监督式机器学习的一个示例：模型通过包含标签的样本加以训练。

Supervised machine learning can be used to make predictions about unseen or future data- called predictive modeling.
有监督机器学习可用于预测不可见或未来的数据，被称为预测模型。

The goal of this project was aimed to utilize supervised machine learning techniques to predict the price of houses located in Ames, Iowa.
介绍该项目旨在使用监督式机器学习技术来预测美国爱荷华州艾姆斯市（Ames,Iowa）的房价。

Supervised machine learning builds a model that makes predictions based on evidence in the presence of uncertainty.
监督式机器学习旨在构建能够根据存在不确定性的证据做出预测的模型。

The Iris classification problem is an example of supervised machine learning: the model is trained from examples that contain labels.
Iris分类问题是一个有监督学习(supervisedmachinelearning)的示例，模型需要从带有标签的样本中进行学习。

Supervised machine learning builds a model that makes predictions based on evidence in the presence of uncertainty.
受监督的机器学习创建了一个模型，可以根据存在不确定性的数据进行预测。

Most of us experience trained, or supervised, machine learning in our everyday lives, from weather forecasts and sports outcome predictions to Siri and Facebook.
我们中的大多数人在日常生活中都经历过训练的或监督机器学习，从天气预报和运动结果预测到Siri和Facebook。

Supervised machine learning creates a model that could make predictions based on data in the presence of uncertainty.
受监督的机器学习创建了一个模型，可以根据存在不确定性的数据进行预测。

Supervised machine learning typically requires human experts to label data and then train an algorithm to predict those labels.
监督式机器学习通常需要人类专家标记数据，然后训练算法来预测这些标记。

The aim of supervised machine learning is to build a model that makes predictions based on evidence in the presence of uncertainty.
监督式机器学习旨在构建能够根据存在不确定性的证据做出预测的模型。

Supervised machine learning generally consists of two phases: 1 training(building a model) and 2 inference(making predictions with the model).
监督机器学习通常包括两个阶段：1）训练（建立模型）和2）推理（使用模型进行预测）。

Supervised machine learning is analogous to a student learning a subject by studying a set of questions and their corresponding answers.
监督式机器学习类似于学生通过研究一系列问题及其对应的答案来学习某个主题。

In supervised machine learning problems, we often consider a dataset D of observation pairs(x, y) and we try to model the following distribution:.
在监督机器学习问题中，我们通常有一个由许多$(x,y)$数据对组成的数据集$D$，然后试图去为下面的分布建模：.