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MULTIMODAL, SMALL AND BIG DATA, MACHINE LEARING SYSTEMS AND PROCESSES

机译:多模态,小数据和大数据,机器学习系统和过程

摘要

According to some embodiments, system and methods for building a model are provided, comprising a display; a memory storing processor-executable process steps; and a processor to execute the processor-executable process steps to cause the system to: present a user interface on a display, the user interface including one or more user-entry fields to build a model, user-entry fields is associated with a selection of big data or small data for use with the model; receive at least one data source in a user-entry field associated with the model; determine if data in the data source includes big data or small data; and in response to the determination of big data or small data in the data source, execute the model with data from the data source in a big data or small data execution environment. Numerous other aspects are provided.
机译:根据一些实施例,提供了一种用于建立模型的系统和方法,包括:存储器,其存储处理器可执行的处理步骤;处理器和处理器,其执行处理器可执行的处理步骤以使系统:在显示器上呈现用户界面,该用户界面包括一个或多个用于构建模型的用户输入字段,用户输入字段与选择相关联用于模型的大数据或小数据;在与模型相关联的用户输入字段中接收至少一个数据源;确定数据源中的数据是包含大数据还是包含小数据;并响应于确定数据源中的大数据或小数据,在大数据或小数据执行环境中使用来自数据源的数据执行模型。提供了许多其他方面。

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