于数据科学 - 翻译成英语

• data science

在 中文 中使用 于数据科学 的示例及其翻译为 英语

专注领域：基于数据科学的预测分析软件，专为销售团队提供，包括最新发布的AvisoInsightsforSalesforce在内。
Focus: Data science-driven predictive analytics software for sales teams, including the newly released Aviso Insights for Salesforce.

Arundo处于数据科学和机器学习技术的最前沿，可在90天或更短的时间内为公司创造价值。
Arundo is at the forefront of data science and machine-learning technology, delivering value to companies in 90 days or less.

数据挖掘和机器学习都属于数据科学的范畴，这是有道理的，因为它们都使用数据。
Both data mining and machine learning fall under the aegis of Data Science, which makes sense since they both use data..

它基于许多数据科学家正在使用的经典机器学习管道构建：使用Numpy、panda和scikit-learn编写的Python程序。
It builds on the classical machine learning pipeline many data scientists are using: Python programs made with Numpy, pandas, and scikit-learn.

在我看来，机器学习将是一只脚立足于数据科学，同时另一只脚立足于计算机科学。
It seems to me that machine learning has one foot in data science and the other in computer science..

此外，发展投身于数据科学工作的精神可以使未来的数据科学家为他们工作的公司提供更大的资本。
Developing that dedication to data science work could make future data scientists even greater assets to the companies where they work.

R用于数据科学，而Swift则用于IOS开发，C++则是电子游戏开发。
R is to data science as Swift is to iOS development as C++ is to video game development.

这表明Python的增长应该主要归功于数据科学，而不是网站开发。
This suggests that the growth of Python should be largely due to data science rather than website development.

因此，现在我们能更好地理解Python是如何应用于数据科学中的了。
Hence, we can now understand the applications of python in data science in a much better way.

Django和Flask是Web开发中最受欢迎的两个库，而NumPy和SciPy是用于数据科学的库。
Django and Flask are two of the most popular for web development and NumPy and SciPy are very popular for data science.

虽然它在本文的机器学习中列出，但它也适用于数据科学。
Although it's listed under machine learning in this article, it is suitable for uses in data science as well.

数据科学家是数据科学的编程与实施之间的桥梁，并致力于数据科学的理论只是以及数据的商业影响力。
Data scientists are the bridge between programming and implementation of data science, the theory of data science, and the business implications of data..

这些工具不会取代硬核的数据科学，但它将使数据科学家能够专注于数据科学中更困难的部分。
These tools aren't going to replace hardcore data science, but it will allow data scientists to focus on the more difficult parts of data science.

为了更好地理解这一点，我们需要了解人力资源管理（HRM）中基于数据科学的AI问题。
To have a better understanding of this matter, we need to consider the AI problems in terms of data science in human resource management(HRM).

在这里，您可以找到各种各样的课程来学习，例如，Python，这是一种主要用于数据科学的语言。
Here, you can find a great variety of courses to learn, for instance, Python, the language that is largely used in data science.

一开始R主要是在统计学家或学术圈内流行，但近几年被相当多的应用于数据科学。
Initially widespread mainly among statisticians or in academic environments, the use of R has increased substantially in recent years in data science's activities.

此外，用户也不必成为Kubernetes专家即可将其用于数据科学。
Also, you don't have to become a Kubernetes expert to use it for data science.

它是一种多用途语言，软件产品开发公司可以将其用于数据科学和网页设计。
It is a multi-purpose language which can be used by software product development companies for data science as well as web designing.

虽然目标源于项目本身的背景，但每个目标都应该通过基于数据科学的实用过滤器来实现。
Though goals originate outside the context of the project itself, each goal should be put through a pragmatic filter based on data science.

推导并求解线性回归模型，并将其适用于数据科学问题.
Derive and solve a linear regression model, and apply it appropriately to data science problems.