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SYSTEMS AND METHODS FOR RAPIDLY BUILDING, MANAGING, AND SHARING MACHINE LEARNING MODELS

机译:快速构建,管理和共享机器学习模型的系统和方法

摘要

In some aspects, systems and methods for rapidly building, managing, and sharing machine learning models are provided. Managing the lifecycle of machine learning models can include: receiving a set of unannotated data; requesting annotations of samples of the unannotated data to produce an annotated set of data; building a machine learning model based on the annotated set of data; deploying the machine learning model to a client system, wherein production annotations are generated; collecting the generated production annotations and generating a new machine learning model incorporating the production annotations; and selecting one of the machine learning model built based on the annotated set of data or the new machine learning model.
机译:在一些方面,提供了用于快速构建,管理和共享机器学习模型的系统和方法。管理机器学习模型的生命周期可以包括:接收一组未注释的数据;请求对未注释数据的样本进行注释,以生成一组注释数据;根据带注释的数据建立机器学习模型;将机器学习模型部署到客户端系统,其中生成生产注释;收集生成的生产注释并生成包含生产注释的新机器学习模型;以及选择基于带注释的数据集构建的机器学习模型或新的机器学习模型之一。

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