What is the translation of " 机器学习过程 " in English?

• machine learning process

Examples of using 机器学习过程 in Chinese and their translations into English

但是，在机器学习过程的早期，你会发现，即使你并没有直接去优化，他们也都会上升。
However, early in the machine learning process, you will notice them all going up, even those that you do not directly optimize.

第三定义侧重于“学习”的哪些方面在机器学习过程中是类似的和重要的；.
A third that focuses on what aspects of"learning" are analogous and important in the machine learning process;

机器学习过程涉及构建可用于查找问题解决方案的预测模型。
The Machine Learning process involves building a Predictive model that can be used to find a solution for a Problem Statement.

要了解机器学习过程，我们假设您已经遇到了需要使用机器学习解决的问题。
To understand the Machine Learning process let's assume that you have been given a problem that needs to be solved by using Machine Learning..

机器学习过程不会引入任何偏差，但是训练数据中的任何偏差都会如实地显示在算法中。
The machine learning process does not introduce any bias, but any deviations in the training data will be faithfully displayed in the algorithm.

机器学习过程不会引入任何偏差，但训练数据中存在的任何偏差都将在算法中忠实地展现出来。
The machine learning process does not introduce any bias, but any deviations in the training data will be faithfully displayed in the algorithm.

这就引出了训练集（trainingset）这一术语，它指的是构建机器学习过程所用到的数据集。
This is where the term training set comes from, referring to the set of data used to build a machine learning process.

为了考虑到这一点，亥姆霍兹团队采用了所谓的深度学习*(即机器学习过程)中的方法。
In order to take this into account, the Helmholtz team employed methods from so-called Deep Learning*(i.e. machine learning processes).

我没有涵盖机器学习过程中的专业任务算法,例如:.
I did not cover algorithms from specialty tasks in the process of machine learning, such as:.

Sagemaker消除了机器学习过程中每一步的沉重负担、复杂性和猜测--使人工智能民主化。
SageMaker eliminates the tedious, complex and guesswork of every step in the machine learning process- democratizing AI.

机器学习过程中的自动化是一个问题，所有不同工具的一致性也是如此。
Automation in the ML process was a concern, as was the coherence of all the different tools.

SageMaker消除了机器学习过程中每个步骤的繁重，复杂性和猜测-使AI民主化。
SageMaker removes the heavy lifting, complexity, and guesswork from each step of the machine learning process- democratizing AI.

SageMaker消除了机器学习过程中每一步的繁重工作、复杂性和猜测--使人工智能民主化。
SageMaker eliminates the tedious, complex and guesswork of every step in the machine learning process- democratizing AI.

作为机器学习过程的一部分，模型的预测在实际的船舶应用中得到评估，从而使模型得到进一步的改进。
As part of the machine learning process, the models' predictions are evaluated in practical marine applications, allowing the models to be further refined.

SageMaker消除了机器学习过程中每个步骤的繁重，复杂性和猜测-使AI民主化。
SageMaker eliminates the tedious, complex and guesswork of every step in the machine learning process- democratizing AI.

这就是整个机器学习过程。
So that was the entire machine learning process.

联合学习将机器学习过程分配到边缘。
Federated learning distributes the machine learning process over to the edge.

参与机器学习过程，并引导可能的结果。
Engaging with the machine learning tools, and guiding the possible outcomes.

机器学习过程是：哮喘+肺炎=死亡风险降低。
The machine learning took this to mean that asthma+ pneumonia= lower risk of death.”.

但机器学习过程中最需要的是少数人拥有的数据。
But what is needed most in the process of machine learning is the data owned by the minority.

机器学习过程中，一个至关重要的问题是过拟合。
When it comes to machine learning, a key question is training.

下一步会将相同的机器学习过程应用到实际的实验数据中。
The next step will be to apply the same machine learning process to actual experimental data.

下一步会将相同的机器学习过程应用到实际的实验数据中。
The next move would be to implement the same machine learning procedure to more realistic experimental data.

一旦你对数学有了基本的理解，就该开始思考整个机器学习过程了。
Once you have a basic mathematic understanding, it's time to start thinking about the entire machine learning process.

下一步研究计划是将相同的机器学习过程应用于实际的物理实验数据。
The next step will be to apply the same machine learning process to actual experimental data.

在生产方面，Bergamaschi和他的团队与一个美国银行客户合作，使用同态技术对机器学习过程进行加密。
On the production side, Bergamaschi and team worked with a U.S.-based banking client to encrypt a machine learning process using homomorphic techniques.

我们建立了针对整个机器学习过程的自动化：从采集、清理和处理我们的遥测数据，到优化和探索不同的模型。
We built automation for the entire machine learning process- from ingesting, cleaning and processing our telemetry data to optimizing and exploring different models.

但是，该公告与测量结果的不同之处在于，它可以快速预测并反映下一次机器学习过程或实验中的结果。
However, this announcement differs from the measurement results in that it quickly predicts and reflects the results in the next machine learning process or experiment.