一个机器学习 - 翻译成英语

machine learning
machine-learning
机器学习
机器学习算

在 中文 中使用 一个机器学习 的示例及其翻译为 英语

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然后,我们的科学家再根据这些数据创建一个机器学习系统,来预测其他瑞典词汇的发音。
Our scientists then built a machine learning system based on that data to predict how all other Swedish words would be pronounced.
于是他开发了一个机器学习模型,搭配计算机视觉系统,这个模型可以预测正在加工的土豆重量。
So he developed a machine learning model with a computer vision system that predicts the weight of the potatoes being processed.
JuliaStats是一个机器学习和统计工具的合集,目的是帮助Julia用户创建可扩展且高效的应用。
JuliaStats is an open source collection of machine learning and statistical tools, aimed to create scalable and efficient implementation in Julia.
该公司是一个机器学习和行为科学的融合,以改善电话专业人员的客户互动。
This company is a mix of machine learning and behavioral science; It is aimed to improve customer interaction for phone professionals.
该公司是一个机器学习和行为科学的融合,以改善电话专业人员的客户互动。
The company is a fusion of machine learning and behavioural science to enhance customer communication for phone professionals.
该公司是一个机器学习和行为科学的融合,以改善电话专业人员的客户互动。
The company is a synthesis of machine learning and behavioral science to enhance customer collaboration for phone professionals.
一个机器学习中使用的、已经成熟的并行任务是距离计算(distancecalculation)。
Another common task used in machine learning which is ripe for parallelization is distance calculation.
训练是一个机器学习阶段,在此阶段中,模型会逐渐得到优化,也就是说,模型会了解数据集。
Training is the stage of machine learning when the model is gradually optimized, or the model learns the dataset.
那么,让我们来看看我们是否可以使用这些片段,构建一个机器学习的程序员定义。
So, let's see if we can use these pieces and construct a developers definition of machine learning.
随着AcquiaLift团队的成长,我们还创建了一个机器学习和人工智能的团队,这将会在2018年带给我们新的特征和产品。
The Acquia Lift team grew, as we also founded a machine learning and artificial intelligence team, which will lead to new features and products in 2018.
我们有一个机器学习团队。
I have got a machine learning team.
先看一个机器学习的例子。
Let me give an example of machine learning.
然后,他们着手建立一个机器学习模型。
Then they set about building a machine learning model.
回到家后,Ron开始建立一个机器学习模型。
Once he got home, Ron started to build a machine learning model.
它是用于保护隐私的一个机器学习框架。
It uses machine learning to protect privacy.
好,现在开始让我们想象一个机器学习任务。
Now suppose that we have a machine learning task.
当他回到家,罗恩开始建立一个机器学习模型。
Once he got home, Ron started to build a machine learning model.
将信息从一个机器学习任务转移到另一个机器学习任务。
The task of transferring information from one machine learning task to another.
在此阶段,您将创建并验证一个机器学习模型。
In this phase, you create and validate a machine learning model.
但是如何区分一个机器学习工程师和数据工程师??
But what distinguishes a machine learning engineer from a data engineer?
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