机器学习和数据 - 翻译成英语

• machine learning and data
• machine learners and data

在 中文 中使用 机器学习和数据 的示例及其翻译为 英语

它紧密相连，甚至被认为是机器学习和数据挖掘的代名词。
It is closely linked and even considered synonymous with machine learning and data mining.

(注意，你应该有一些机器学习和数据科学的基础，这样才能感受到该平台提供的好处)。
(Note that you should have some knowledge of machine learning and data science to truly benefit from using this platform.).

特征选择在很多机器学习和数据挖掘场景中都是非常有用的。
Feature ranking can be incredibly useful in a number of machine learning and data mining scenarios.

这被称为过拟合，也是机器学习和数据科学中的常见问题。
This is known as overfitting, and it's a common problem in machine learning and data science.

机器学习和数据挖掘的方法是适用的，在各种各样的领域，从处理行业数据科学的需要。
The methods of machine learning and data mining are applicable and needed in a wide variety of fields ranging from process industry to data science.

但要是你希望跨过机器学习和数据分析的门槛，Python可能是更好的选择。
However, if the goal is to push past the basics of machine learning and data analysis, Python is probably a better choice.

随着机器学习和数据科学的出现，系统还可能包括决策支持、机器学习研究和数据挖掘项目。
With the advent of machine learning and data science, systems may also include decision support, machine-learning research and data mining projects.

随着人工智能的出现，我们有必要研究机器学习和数据收集的伦理学。
With the advent of artificial intelligence, it is imperative that we examine the ethics of machine learning and data collection.

虽然它是一种易于入门的语言，但通常用于更高级的编程，如机器学习和数据分析。
It's an easy language to get started with, but it's often used for higher-level programmings like machine learning and data analysis.

这些GPU可助您加速实例上的特定工作负载，例如机器学习和数据处理。
You can use these GPUs to accelerate specific workloads on your instances such as machine learning and data processing.

然而，今天，数据挖掘'似乎被划分为机器学习和数据科学之间的概念。
Today, however, data mining seems to be split as a concept between machine learning and data science itself.

遥遥领先的是Numpy，一个支持多维数据数学运算的工具包，是导入最多的工具包，GitHub上近四分之三的机器学习和数据科学项目使用此包。
Numpy- a package with support for mathematical operations on multidimensional data- was the most imported package, used in nearly three-quarters of machine learning and data science projects.

机器学习和数据挖掘：.
Machine learning and data mining.

机器学习和数据科学调查.
Machine Learning and Data Science Survey.

机器学习和数据科学都是广义的术语。
Machine learning and data science are both broad terms.

这是机器学习和数据分析的先决条件。
A prerequisite for machine learning and data analysis.

所有的机器学习和数据科学代码都是Python。
All the machine learning and data science code was Python.

机器学习和数据分析是数据科学的一部分。
Machine learning and data analytics are a part of data science.

基本机器学习和数据挖掘概念，例如分类和群集；.
Basic machine learning and data mining concepts such as classification and clustering;

分类是机器学习和数据分析的重要组成部分。
Classification is an important component of machine learning and data analysis.