Research on Machine Learning Model for Data Content Audit
Users'demand for Internet data is growing,and more and more data need to be audited.However,in reality,there is a large amount of false,illegal,and infringing data,making it increasingly difficult to audit users.Machine learning algorithms can make predictions and judgments through training data.When it is found that the model prediction does not match the actual situation,effective measures can be taken in a timely manner to correct model errors.Based on this,the focus is on analyzing and researching machine learning models for data content auditing.
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