What is the translation of " 数据探索 " in English?

Examples of using 数据探索 in Chinese and their translations into English

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数据探索是企业目前正在发挥的第二个战略。
Data exploration is the second strategy that is currently in play by businesses.
数据探索:在定义的数据池中找到有用的数据。
Data discovery: finding useful data in the defined data pool.
大数据时代代表了数据探索和利用的全新时代。
Big data represents a new era in data exploration and utilization.
数据探索应用伦斯勒所为和.
The Rensselaer Institute for Data Exploration and Applications.
数据探索是确定数据集质量的过程,即使我们不知道我们正在寻找什么,也能有效地从数据中提取知识。
Data exploration is about efficiently extracting knowledge from data even if we do not know exactly what we are looking for.
掌握数据探索最重要的技能是“好奇心”,它是免费的,但不是每个人都拥有的。
The most important skill to master data exploration is‘curiosity', which is free of cost yet isn't owned by everyone.
知识、信息和数据探索和获取基础设施以及相关的信息和数据流将需要清晰的职权范围和长期的财政支持。
The knowledge, information and data discovery and access infrastructure and associated information and data streams will need clear terms of reference and long-term financial support.
通过数据探索和发现,Tableau软件可以快速从数据中提取洞察并以可理解的格式呈现它们。
Through data exploration and discovery, Tableau software quickly extracts insights from data and presents them in understandable formats.
这两种技术在数据探索中是至关重要的,对预测能力有显著的影响。
These two techniques are vital in data exploration and have a remarkable impact on the power of prediction.
数据探索期间获得的所有见解和模式都用于构建机器学习模型。
So all the insights and the patterns that you derive during the data exploration are used to build a machine learning model.
根据我个人的经验而言,数据探索、清洗和准备能耗费整个项目的70%的时间。
With my personal estimate, data exploration, cleaning and preparation can take up to 70% of your total project time.
AnacondaAccelerate可用于ContinuumAnalytics的AnacondaPython产品,同时也是基于Wakari浏览器的数据探索与代码开发环境的一部分。
Anaconda Accelerate is available for Continuum Analytics' Anaconda Python offering,and as part of the Wakari browser-based data exploration and code development environment.
完全托管的数据仓库、批处理和流处理、数据探索、Hadoop/Spark以及可靠的消息传递功能。
Fully managed data warehousing, batch and stream processing, data exploration, Hadoop/Spark, and reliable messaging.
自助服务将大大有助于开发人员,数据科学家和数据分析人员,使它们能够直接进行数据探索
Embracing self-service big data can empower developers,data scientists and data analysts to conduct data exploration directly.
现在,我们要进行实践训练,并进行一些数据探索和分析。
Now, we will put this into practice and do some data exploration and analysis.
为提取复杂数据集中的信息,数据科学家采用了许多工具和技术,包括数据探索、可视化和建模。
To extract the information embedded in complex datasets,Data Scientists employ a number of tools and techniques including data exploration, visualisation, and modelling.
Hive还包括一个系统目录-Metastore-包含模式和统计信息,它们在数据探索,查询优化和查询编译中很有用。
Hive also includes a system catalog- called Metastore- containing schema and statistics,which are useful in data exploration and query optimization.
自助服务将大大有助于开发人员,数据科学家和数据分析人员,使它们能够直接进行数据探索
Self-service empowers developers,data scientists and data analysts to conduct data exploration directly.".
此视频非常适合Kibana的新手用户,如果您正在寻找关于数据探索,可视化和仪表盘的初级读本。
This video is perfect for users that are new to Kibana andare looking for a primer on data exploration, visualization, and dashboarding in Kibana.
这意味着要使用在商业环境中,而不是进行广泛的数据探索研究工具。
It is meant to be used in business environments,rather than as a research tool for extensive data exploration.
这些解决方案涵盖整个分析生命周期-从数据管理到数据探索、模型开发和部署。
These solutions span the entire analytic life cycle-from data management to data exploration, model development and deployment.
Qlikview通常与其同类软件包Qliksense一起使用,后者处理数据探索和发现。
Qlikview is commonly used alongside its sister package, Qliksense,which handles data exploration and discovery.
为了保持数据探索和可视化方法的灵活性,这款软件致力于维护数据之间的关联性。
To sustain flexibility in its approach to data exploration and visualization, this software strives to maintain the association between data..
InfoQ:什么时候我们应该用R来进行数据探索而不是用其它的方案,如Hadoop和MapReduce呢??
InfoQ: When should we use R for data exploration compared to other solutions like Hadoop and MapReduce?
D3.js可以成为数据探索的宝贵帮助,它可以让你控制数据的表示,并允许你添加交互性。
So D3 can be a valuable aid in data exploration, as it gives you control over your data's representation, and lets you add interactivity.
这些学术著作通常很长,涉及研究、分析和数据探索
These are scholarly works that are generally lengthy and involve research,analyzation and exploration of data.
如果你精通SQL,则可以更好地掌握数据探索和有效的决策制定。
If you are fluent in SQL,then you may have a better command of data exploration, and making effective decisions.
如果你精通SQL,则可以更好地掌握数据探索和有效的决策制定。
If you are well versed in SQL,you can have better command over data exploration, and effective decision making.
它还采用降维方法,处理缺失值,异常值和数据探索的其他必要步骤,并且做得相当不错。
It also undertakes dimensional reduction methods, treats missing values,outlier values and other essential steps of data exploration, and does a fairly good job.
当与其他深度学习库结合起来,它十分适合数据探索
When combined with other deep learning libraries,it will be very suitable for data exploration.
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