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SELF-LEARNING SYSTEM AND METHOD BASED ON MACHINE LEARNING KNOWLEDGE AND AUTOMATED WORKFLOW

机译:基于机器学习知识和自动工作流的自学系统和方法

摘要

The present invention relates to a self-learning system for automatically performing machine learning which comprises: a memory for storing a program for automatically performing machine learning in accordance with a machine learning knowledge database storing a machine learning knowledge and user request information; and a processor for executing the program stored in the memory. The processor generates or recommends one or more machine learning procedures corresponding to the user request information on the basis of the machine learning knowledge stored in the machine learning knowledge database as the program is executed, and generates an execution code for executing the generated or recommended machine learning procedures.
机译:本发明涉及一种用于自动执行机器学习的自学习系统,其包括:存储器,用于存储用于根据存储有机器学习知识和用户请求信息的机器学习知识数据库来自动执行机器学习的程序。处理器用于执行存储在存储器中的程序。当程序被执行时,处理器基于存储在机器学习知识数据库中的机器学习知识来生成或推荐与用户请求信息相对应的一个或多个机器学习过程,并生成用于执行所生成或推荐的机器的执行代码。学习程序。

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