在 英语 中使用 Data sets 的示例及其翻译为 中文
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The software connects to commercial, proprietary and public data sets and discovers trends, relationships and anomalies, including predictive analytics.
Multimedia, user-driven pathways, apps, data sets, 3D imaging, even virtual reality have all become elements of scholarly works.
Big data sets can show businesses more about performance trends and what's happening at particular business locations or cost centers.
In other clouds, data sets may be replicated to additional storage devices, and those devices can be attached to additional instances.
By harvesting these large data sets, companies no longer need to rely on a gut feeling when making business decisions.
However, as data sets on customers began to expand, in 2019, Flipkart has started looking at even those customers without a formal credit score.
And I don't even mean“Big Data” or whatever- even data sets that fit on your laptop's hard drive are important to analyze.
One of the most important features of data mining in SQL Server 2005 is the ability to handle large data sets.
Businesses may also use big data sets to identify performance standards, or to help in the process of workforce management.
Having worn a headscarf in the past, Kaliouby is also keenly aware of the importance of building diverse data sets.
But, says Koellinger, the main reason researchers haven't done those studies has been the inadequacy of the data sets.
Recently, however, construction firms have started to deploy real time, cloud-based technologies to evaluate large unstructured data sets.
This type of learning takes advantage of the processing power of modern computers, which can easily process large data sets.
The name‘Pandas' is derived from the term“panel data”, an econometrics term for multidimensional structured data sets.
It is a classification technique based on Bayes' theorem and very easy to build and particularly useful for very large data sets.
This Apache Foundation project has become nearly synonymous with big data, and it enables large-scale distributed processing of extremely large data sets.
Cisco describes this cloud computing design as"resulting in superior user experience" and using"wide geographical distribution" to handle real-time big data sets.
In this instructor-led, live training(onsite or remote), participants will learn how to analyze various types of data sets using Spark SQL.
The name‘Pandas' is derived from the term“panel data”, an econometrics term for multidimensional structured data sets.
Both resources will help you learn how to use OpenRefine and make it easier for you to clean up your data sets.