Anomaly detection, also called outlier detection, is the process of finding rare items in a dataset. Examples include finding fraudulent login events and fake news items. Take a look at the demo ...
This project applies unsupervised learning to shopping basket analysis using a neural network autoencoder. It learns co-purchase patterns between technology products and recommends additional items ...
Este projeto implementa um sistema de inferência para detecção de anomalias e análise de comportamento utilizando modelos previamente treinados. O objetivo é aplicar os modelos em novos dados para ...
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