Too Long; Didn't Read
The effectiveness and predictive power of machine learning models is highly dependent on the quality of data used during the training phase. In most real-world scenarios, models are trained using domain-specific data provided by known and trusted sources. However, not all data sources are known and benevolent; some have an adversarial nature and aim to corrupt the way models make their predictions. At Modzy, we have developed a unique solution which intelligently filters out unclean data points before the data is sent to the machine learning model.