算法和数据 英语是什么意思 - 英语翻译

algorithms and data
算法 和 数据
algorithm and data
算法 和 数据

在 中文 中使用 算法和数据 的示例及其翻译为 英语

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什么是算法和数据结构??
What is an algorithm and data structure?
对于复杂的算法和数据结构,系统程序设计语言的强类型使程序更易于管理。
For complex algorithms and data structures, the strong typing of a system programming language makes programs easier to manage.
它涉及动态分段算法和数据压缩,支持HTTP、HTTPS和FTP,因此可用于各种互联网提供商。
It involves dynamic segmentation algorithms and data compression, supports HTTP, HTTPS and FTP, therefore being usable with all kinds of Internet providers.
每种算法和数据结构都有自己的README,包含相关说明和链接,以便进一步阅读(还有YouTube视频)。
Each algorithm and data structure have its own separate README with related explanationsand links for further reading and YouTube videos.
AI这个领域需要让算法和数据同时演化,更多的数据将会产生巨大的差异。
AI in this area need to let the algorithm and data at the same time evolution, more data will have a huge difference.
Alpha的使用其庞大的算法和数据收集,计算答案,并为您生成报告。
Alpha uses its huge collection of algorithms and data to compute answers and generate reports for you across thousands of domains.
Javascript-algorithms存储库包含许多流行算法和数据结构的基于JavaScript的示例。
This repository contains JavaScript based examples of many popular algorithms and data structures.
Alpha的使用其庞大的算法和数据收集,计算答案,并为您生成报告。
Alpha uses its vast collection of algorithms and data to compute answers and generate reports for you.
此外,所有算法和数据结构都提供一些实际用例的示例。
Besides, all the algorithms and data structures come with some example practical use cases.
但对于初学者来说,你必须有扎实的算法和数据结构知识,最重要的是加密算法。
But for starters, you have to have solid knowledge of algorithms and data structures, most importantly cryptographic algorithms..
我们将使用Python实现关键算法和数据结构,并分析实际的基因组和DNA测序数据集。
We will use Python to implement key algorithms and data structures and to analyze real genomes and DNA sequencing datasets….
CS强劲的基本面,包括经典的算法和数据结构良好的工作知识.
Strong CS fundamentals,including good working knowledge of classic algorithms and data structures.
当然,在进行V8的逻辑路径优化之前,我们应该首先关注API设计,算法和数据结构。
Of course, before optimizing for V8 logic paths,we should first focus on API design, algorithms and data structures.
数据分析工具的发展需要这种新的算法和数据处理方法的设计.
Development of data analysis tools that require the design of new algorithms and data processing methods.
它有很多解决方案,每个解决方案都要求不同程度的算法和数据结构知识。
It has a number of solutions, each requiring varying degrees of algorithms and data structures knowledge.
注意,下一部分我们将会见到这些算法和数据结构。
Note: In the next parts, we will see these algorithms and data structures.
我们提出了一种新的“大O”记号来表示无等待的算法和数据结构。
We propose a newkind of"Big O" notation for Wait-Free algorithms and data structures.
RobertSedgewick完全重定了他的著作,对它进行了充分的扩展和更新,涵盖了目前重要的算法和数据结构。
Robert Sedgewick has thoroughly rewritten and substantially expanded his popular work to provide current andcomprehensive coverage of important algorithms and data structures.
脚本语言常用于扩展组件特性,但它们很少用于复杂的算法和数据结构;
Scripting languages are often used to extend the features of components butthey are rarely used for complex algorithms and data structures;
当然,在为V8优化我们的代码之前,我们应该首先把精力放在API设计、算法和数据结构上。
Of course, before optimizing for V8 logic paths,we should first focus on API design, algorithms and data structures.
介绍基础数据类型、算法和数据结构,强调Java实现的应用和科学性能分析。
An introduction to fundamental data types, algorithms, and data structures, with emphasis on applicationsand scientific performance analysis of Java implementations.
PeterVanWeert是一名软件工程师,主要兴趣和专长是应用软件开发、编程语言、算法和数据结构。
Peter Van Weert is a Belgian software engineer whose main interests and expertise are application software development,programming languages, algorithms, and data structures.
AI早期采用者大量投入分析专业知识,并确保算法和数据的质量可以扩展到企业范围的信息和知识需求。
AI early adopters invest heavily in analytics expertise andensuring the quality of algorithms and data can scale across their enterprise-wide information and knowledge needs.
我经常在TensorFlowPlayground中展示算法和数据之间相互作用的可执行的例子。
I often showexecutives examples in the TensorFlow Playground of the interplay between algorithms and data.
在数以千计的领域-不断增加-Wolfram|Alpha的使用其庞大的算法和数据收集,计算答案,并为您生成报告。
Across thousands of domains- with more continually added-WolframAlpha uses its vast collection of algorithms and data to compute answers and generate reports for you.
他们是一个由开发人员,研究人员和创新者组成的团队,致力于在传感器,算法和数据空间中创建以人为中心的技术。
We're a team of developers,researchers and innovators dedicated to the creation of human-centric technologies in the sensor, algorithm and data spaces.
人工智能的早期采纳者在专业分析方面投资巨大,以保证算法和数据的质量可以满足整个公司范围内的信息和知识的需求。
AI early adopters invest heavily in analytics expertise andensuring the quality of algorithms and data can scale across their enterprise-wide information and knowledge needs.
人工智能的早期采纳者在专业分析方面投资巨大,以保证算法和数据的质量可以满足整个公司范围内的信息和知识的需求。
AI early adopters investheavily in analytics expertise ensuring that the quality of algorithms and data is scalable across their enterprise-wide information and knowledge needs.
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