What is the translation of " RAPIDMINER " in English?

Examples of using Rapidminer in Chinese and their translations into English

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RapidMiner培训课程报名.
RapidMiner Training Courses.
上海RapidMiner培训课程.
Shanghai RapidMiner training course.
RapidMiner在领导者象限中实际上保持同一个位置。
RapidMiner has remained essentially in the same place in leaders quad.
第二代机器学习工具,包括Mahout,Pentaho,以及RapidMiner
Second-generation ML tools such as Mahout, Pentaho, and RapidMiner.
Pentaho和RapidMiner在自己的商业化产品中包含了该软件。
Pentaho and RapidMiner include the software in their commercial products.
该软件的基础是RapidMinerStudio,它是一个免费的开源平台。
The base of the software which is RapidMiner Studio is a free, open source platform.
RapidMiner连续位于Gartner数据科学平台领导.
RapidMiner Named a Leader in the 2017 Gartner Magic Quadrant for Data Science Platforms.
像许多当前的大数据工具一样,RapidMiner解决方案也包含云计算解决方案.
Like many current Big Data tools, the RapidMiner solution embraces the cloud.
RapidMiner的总代理商。RapidMinerChina除了销售软件之外.
RapidMiner 's Master Reseller in the region Alongside software sales RapidMiner China.
Pig和语言入到的Radoop和RapidMinerSpark.
RapidMiner Studio into the language of Hadoop Radoop speaksnative Hive MapReduce Spark Pig and Mahout.
RapidMiner是一个具有可视化和统计建模功能的预测分析工具。
RapidMiner is a predictive analytics tool with visualization and statistical modelling capabilities.
不过,这是由于RapidMiner采取了一些措施鼓励他们的用户参与该调查。
However, this is because RapidMiner has taken some measures to encourage their users to take part in the survey.
RapidMiner-提供数据挖掘、数据科学、预测分析、机器学习解决方案.
RapidMiner- offers data mining, data science, predictive analytics and machine learning solutions.
整个RadiMiner平台包括三个独立的组件:RapidMinerStudio、RapidMinerServer和RapidMinerRadoop。
Rapid Miner is available in 3 modules- the Miner Studio, Miner Server and Miner Radoop.
RapidMiner是一个开源数据科学软件平台,用于快速应用程序原型设计和开发。
RapidMiner is an open source data science software platform for rapid application prototyping and development.
在领导者象限中,Gartner列入了四家供应商,包括:KNIME、RapidMiner、TIBCOSoftware、SAS。
Gartner placed four vendors in the Leader's Quadrant, including KNIME, RapidMiner, TIBCO Software, and SAS.
RapidMiner在过去被称为另一个学习环境(YALE),是由德国多特蒙德大学开发的技术。
RapidMiner used to be called Yet Another Learning Environment(YALE) and was developed at Technical University of Dortmund, Germany.
记住用户名、密码和架构名,返回第二部分继续完成安装RapidMinerServer。
Record the username, password,and schema name and return to the installation instructions to complete the RapidMiner Server installation.
为了让此类数据挖掘自动化,Mitchell使用了RapidMiner预测分析和数据挖掘软件,和一个文本编辑插件。
To automate this data mining, Mitchell uses RapidMiner predictive analytics and data mining software, with a text processing plugin.
下面的例子展示了如何创建一个简单开源的数据库服务器,以供RapidMinerservice使用。
The following instructions provide a sample that illustrates how to create a simple,open-source database server for use by the RapidMiner service.
RapidMiner以33%左右的使用率占据着数据挖掘/数据科学中最流行的通用平台前列,这和2016年几乎完全一样。
RapidMiner remains the most popular general platform for data mining/data science, with about 33% usage, almost exactly the same as in 2016.
在过去几次调查中,RapidMiner都是排名最高的数据科学平台,今年其占比从2017年的33%上升到50%。
In the past several surveys, RapidMiner is the highest ranked data science platform, and its proportion increased from 33% in 2017 to 50% this year.
RapidMiner声称是“头号开源数据科学平台”,Gartner将它评为高级分析魔力象限报告中的领导者。
RapidMiner claims to be the" 1 open source data science platform," and Gartner named it a leader in its Magic Quadrant report for advanced analytics.
这个象限在2014年至2017年有同样的4家公司(IBM、SAS、RapidMiner和KNIME),但2018年发生了变化,今年又发生了变化。
This quadrant used to have the same 4 firms(IBM,SAS, RapidMiner, and KNIME) in 2014-2017, but it changed in 2018 and changed again this year.
分析师GarethHerschel,AlexanderLinden和LisaKart指出,这一魔力象限的领导者,是SAS,IBM,RapidMiner和KNIME。
Leaders in this Magic Quadrant, authored by analysts Gareth Herschel, Alexander Linden and Lisa Kart, are SAS,IBM, RapidMiner and KNIME.
RapidMiner类似,KNIME提供了一个开放源码的分析数据的平台,以后可以使用其他支持KNIME的产品进行部署。
Similar to RapidMiner, KNIME offers an open source analytics platform for analyzing data, which can later be deployed, scaled using other supportive KNIME products.
在这个由讲师指导的实时培训中,参与者将学习如何使用RapidMinerStudio进行数据准备,机器学习和预测模型部署。
In this instructor-led, live training,participants will learn how to use RapidMiner Studio for data preparation, machine learning, and predictive model deployment.
整个RadiMiner平台包括三个独立的组件:RapidMinerStudio、RapidMinerServer和RapidMinerRadoop。
The complete RadiMiner Platform includes three separate pieces: RapidMiner Studio, RapidMiner Server and RapidMiner Radoop.
RapidMiner为主要的机器学习过程提供了超过500算子,并且,其结合了学习方案和Weka学习环境的属性评估器。
RapidMiner provides more than 500 operators for all main machine learning procedures, and it also combines learning schemes and attribute evaluators of the Weka learning environment.
RapidMiner提供的数据挖掘和机器学习程序包括:数据加载和转换(ETL),数据预处理和可视化,建模,评估和部署。
RapidMiner provides data mining and machine learning procedures including: data loading and transformation(ETL), data preprocessing and visualization, modelling, evaluation, and deployment.
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