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Understanding business insights and deep-dive using artificial intelligence

机译:了解使用人工智能的商业洞察和深度潜水

摘要

A system, a machine-readable storage medium storing instructions, and a computer-implemented method are described herein are directed to a Key Feature Engine receives a request for a desired number of key features to be identified from a data set in at least a portion of a database. The Key Feature Engine executes instances of multiple types of machine learning data models on the data set to calculate respective regression coefficients, in each machine learning data model instance, for each feature in a plurality of features defined by a plurality of data categories of a social network service. The Key Feature Engine identifies at least one key feature, of one or more instances of the multiple types of machine learning data models, based on a value of a corresponding regression coefficient.
机译:本文描述了一个系统,机器可读存储介质和计算机实现的方法,以及计算机实现的方法被引导到密钥特征引擎接收用于从至少一部分中设置的数据被识别的所需数量的关键特征的请求数据库。关键特征引擎在数据集上执行多种类型的计算机学习数据模型的实例,以计算由社交的多个数据类别定义的多个特征中的每个特征中的每个计算机学习数据模型实例中的相应回归系数。网络服务。关键特征引擎基于相应回归系数的值识别多种类型的机器学习数据模型的一个或多个实例的至少一个关键特征。

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